AI Benchmark
8.9 140
v6.0.0 by Ignatov Andrey
About AI Benchmark
AI Benchmark (Package Name: org.benchmark.demo) is developed by Ignatov Andrey and the latest version of AI Benchmark 6.0.0 was updated on September 26, 2024. AI Benchmark is in the category of Tools. You can check all apps from the developer of AI Benchmark and find 162 alternative apps to AI Benchmark on Android. Currently this app is for free. This app can be downloaded on Android 5.0+ on APKPure.fo or Google Play. All APK/XAPK files on APKPure.fo are original and 100% safe with fast download.
Neural Image Generation, Face Recognition, Image Classification, Question Answering...
Is your smartphone capable of running the latest Deep Neural Networks to perform these and many other AI-based tasks? Does it have a dedicated AI Chip? Is it fast enough? Run AI Benchmark to professionally evaluate its AI Performance!
Current phone ranking: http://ai-benchmark.com/ranking
AI Benchmark measures the speed, accuracy, power consumption and memory requirements for several key AI, Computer Vision and NLP models. Among the tested solutions are Image Classification and Face Recognition methods, AI models performing neural image and text generation, neural networks used for Image / Video Super-Resolution and Photo Enhancement, as well as AI solutions used in autonomous driving systems and smartphones for real-time Depth Estimation and Semantic Image Segmentation. The visualization of the algorithms’ outputs allows to assess their results graphically and to get to know the current state-of-the-art in various AI fields.
In total, AI Benchmark consists of 83 tests and 30 sections listed below:
Section 1. Classification, MobileNet-V3
Section 2. Classification, Inception-V3
Section 3. Face Recognition, Swin Transformer
Section 4. Classification, EfficientNet-B4
Section 5. Classification, MobileViT-V2
Sections 6/7. Parallel Model Execution, 8 x Inception-V3
Section 8. Object Tracking, YOLO-V8
Section 9. Optical Character Recognition, ViT Transformer
Section 10. Semantic Segmentation, DeepLabV3+
Section 11. Parallel Segmentation, 2 x DeepLabV3+
Section 12. Semantic Segmentation, Segment Anything
Section 13. Photo Deblurring, IMDN
Section 14. Image Super-Resolution, ESRGAN
Section 15. Image Super-Resolution, SRGAN
Section 16. Image Denoising, U-Net
Section 17. Depth Estimation, MV3-Depth
Section 18. Depth Estimation, MiDaS 3.1
Section 19/20. Image Enhancement, DPED
Section 21. Learned Camera ISP, MicroISP
Section 22. Bokeh Effect Rendering, PyNET-V2 Mobile
Section 23. FullHD Video Super-Resolution, XLSR
Section 24/25. 4K Video Super-Resolution, VideoSR
Section 26. Question Answering, MobileBERT
Section 27. Neural Text Generation, Llama2
Section 28. Neural Text Generation, GPT2
Section 29. Neural Image Generation, Stable Diffusion V1.5
Section 30. Memory Limits, ResNet
Besides that, one can load and test their own TensorFlow Lite deep learning models in the PRO Mode.
A detailed description of the tests can be found here: http://ai-benchmark.com/tests.html
Note: Hardware acceleration is supported on all mobile SoCs with dedicated NPUs and AI accelerators, including Qualcomm Snapdragon, MediaTek Dimensity / Helio, Google Tensor, HiSilicon Kirin, Samsung Exynos, and UNISOC Tiger chipsets. Starting from AI Benchmark v4, one can also enable GPU-based AI acceleration on older devices in the settings ("Accelerate" -> "Enable GPU Acceleration" / "Arm NN", OpenGL ES-3.0+ is required).
Is your smartphone capable of running the latest Deep Neural Networks to perform these and many other AI-based tasks? Does it have a dedicated AI Chip? Is it fast enough? Run AI Benchmark to professionally evaluate its AI Performance!
Current phone ranking: http://ai-benchmark.com/ranking
AI Benchmark measures the speed, accuracy, power consumption and memory requirements for several key AI, Computer Vision and NLP models. Among the tested solutions are Image Classification and Face Recognition methods, AI models performing neural image and text generation, neural networks used for Image / Video Super-Resolution and Photo Enhancement, as well as AI solutions used in autonomous driving systems and smartphones for real-time Depth Estimation and Semantic Image Segmentation. The visualization of the algorithms’ outputs allows to assess their results graphically and to get to know the current state-of-the-art in various AI fields.
In total, AI Benchmark consists of 83 tests and 30 sections listed below:
Section 1. Classification, MobileNet-V3
Section 2. Classification, Inception-V3
Section 3. Face Recognition, Swin Transformer
Section 4. Classification, EfficientNet-B4
Section 5. Classification, MobileViT-V2
Sections 6/7. Parallel Model Execution, 8 x Inception-V3
Section 8. Object Tracking, YOLO-V8
Section 9. Optical Character Recognition, ViT Transformer
Section 10. Semantic Segmentation, DeepLabV3+
Section 11. Parallel Segmentation, 2 x DeepLabV3+
Section 12. Semantic Segmentation, Segment Anything
Section 13. Photo Deblurring, IMDN
Section 14. Image Super-Resolution, ESRGAN
Section 15. Image Super-Resolution, SRGAN
Section 16. Image Denoising, U-Net
Section 17. Depth Estimation, MV3-Depth
Section 18. Depth Estimation, MiDaS 3.1
Section 19/20. Image Enhancement, DPED
Section 21. Learned Camera ISP, MicroISP
Section 22. Bokeh Effect Rendering, PyNET-V2 Mobile
Section 23. FullHD Video Super-Resolution, XLSR
Section 24/25. 4K Video Super-Resolution, VideoSR
Section 26. Question Answering, MobileBERT
Section 27. Neural Text Generation, Llama2
Section 28. Neural Text Generation, GPT2
Section 29. Neural Image Generation, Stable Diffusion V1.5
Section 30. Memory Limits, ResNet
Besides that, one can load and test their own TensorFlow Lite deep learning models in the PRO Mode.
A detailed description of the tests can be found here: http://ai-benchmark.com/tests.html
Note: Hardware acceleration is supported on all mobile SoCs with dedicated NPUs and AI accelerators, including Qualcomm Snapdragon, MediaTek Dimensity / Helio, Google Tensor, HiSilicon Kirin, Samsung Exynos, and UNISOC Tiger chipsets. Starting from AI Benchmark v4, one can also enable GPU-based AI acceleration on older devices in the settings ("Accelerate" -> "Enable GPU Acceleration" / "Arm NN", OpenGL ES-3.0+ is required).
AI Benchmark 6.0.0 Update
1. New tasks and models: Vision Transformer (ViT) architectures, Large Language Models (LLMs), Stable Diffusion network, etc.2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
Read More
AI Benchmark Features
Previous Versions
More
Variant
Arch
Version
DPI
47
September 26, 2024
AI Benchmark
6.0.0
(47)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 3219a8a291728f921c73ab021bea246aefa61eb8
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 1.39 GB
What's New:
1. New tasks and models: Vision Transformer (ViT) architectures, Large Language Models (LLMs), Stable Diffusion network, etc.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
arm64-v8a
Android 5.0+
nodpi
47
September 26, 2024
AI Benchmark
6.0.0
(47)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 3497ae284fb50888ae3f6fb2bc30c13aad1da77e
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.arm64_v8a, config.en, config.fr, config.mdpi
Size: 1.39 GB
What's New:
1. New tasks and models: Vision Transformer (ViT) architectures, Large Language Models (LLMs), Stable Diffusion network, etc.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
arm64-v8a
Android 5.0+
nodpi
47
September 26, 2024
AI Benchmark
6.0.0
(47)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 4b20dff1bc9639546889d4730e496d7f2fb7f47d
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 1.39 GB
What's New:
1. New tasks and models: Vision Transformer (ViT) architectures, Large Language Models (LLMs), Stable Diffusion network, etc.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
arm64-v8a
Android 5.0+
nodpi
47
September 26, 2024
AI Benchmark
6.0.0
(47)
Requires Android: Android 5.0+
Architecture: armeabi-v7a
Screen DPI: nodpi
SHA1: 8e8e1f9d1fedd058e3f0bbc676178c06de180ff8
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.armeabi_v7a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xhdpi, config.zh
Size: 1.34 GB
What's New:
1. New tasks and models: Vision Transformer (ViT) architectures, Large Language Models (LLMs), Stable Diffusion network, etc.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
2. Added tests checking the performance of quantized INT16 inference.
3. LiteRT (TFLite) runtime updated to version 2.17.
4. Updated Qualcomm QNN, MediaTek Neuron, TFLite NNAPI, GPU and Hexagon NN delegates.
5. Added Arm NN delegate for AI inference acceleration on Mali GPUs.
6. The total number of tests increased to 83.
armeabi-v7a
Android 5.0+
nodpi
Variant
Arch
Version
DPI
40
March 6, 2024
AI Benchmark
5.1.2
(40)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 6a648cc39344d73cae597505ea039ec32d776a15
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xhdpi, config.zh
Size: 778.85 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
arm64-v8a
Android 5.0+
nodpi
40
March 6, 2024
AI Benchmark
5.1.2
(40)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: cadf1d58fa3693a0d58b886b96f6e17f277f2290
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 778.86 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
arm64-v8a
Android 5.0+
nodpi
40
March 6, 2024
AI Benchmark
5.1.2
(40)
Requires Android: Android 5.0+
Architecture: armeabi-v7a
Screen DPI: nodpi
SHA1: 8500f1060c091b6e98330c2c263e53092431524d
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.armeabi_v7a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 739.11 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
armeabi-v7a
Android 5.0+
nodpi
40
March 7, 2024
AI Benchmark
5.1.2
(40)
Requires Android: Android 5.0+
Architecture: armeabi-v7a
Screen DPI: nodpi
SHA1: 3d1fc857f1f3cb46c0cf6e3aa721f459c64bb19d
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.armeabi_v7a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xhdpi, config.zh
Size: 739.09 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
armeabi-v7a
Android 5.0+
nodpi
Variant
Arch
Version
DPI
39
November 27, 2023
AI Benchmark
5.1.1
(39)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 9a920ef8ab168847b30d96dd727fc934eba8685f
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 778.66 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
arm64-v8a
Android 5.0+
nodpi
39
November 27, 2023
AI Benchmark
5.1.1
(39)
Requires Android: Android 5.0+
Architecture: armeabi-v7a
Screen DPI: nodpi
SHA1: 322136e998a34f512771e4bdedbf1eea245a31bc
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.armeabi_v7a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 739.11 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
armeabi-v7a
Android 5.0+
nodpi
39
November 28, 2023
AI Benchmark
5.1.1
(39)
Requires Android: Android 5.0+
Architecture: armeabi-v7a
Screen DPI: nodpi
SHA1: 3c2011ce61b939ce337fc2f7fc780feb44dc2796
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.armeabi_v7a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xhdpi, config.zh
Size: 739.09 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
armeabi-v7a
Android 5.0+
nodpi
39
November 30, 2023
AI Benchmark
5.1.1
(39)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 4fa428e2195cd59190cbeb3dc1873117e4aace8a
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxxhdpi, config.zh
Size: 778.66 MB
What's New:
1. Updated Qualcomm QNN and MediaTek Neuron delegates.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
2. Enhanced stability and accuracy of the power consumption test.
3. Various bug fixes and performance improvements.
arm64-v8a
Android 5.0+
nodpi
Variant
Arch
Version
DPI
38
August 8, 2023
AI Benchmark
5.1.0
(38)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: 0801213d5103e12f01ef34eec10f3bd9e8af9827
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxxhdpi, config.zh
Size: 773.01 MB
What's New:
1. Added NPU power consumption benchmark.
2. Update TFLite runtime.
3. Updated TFLite GPU, NNAPI, Qualcomm QNN, Hexagon NN and Samsung ENN delegates.
4. Updated in-app ranking table.
5. Various bug fixes and performance improvements.
2. Update TFLite runtime.
3. Updated TFLite GPU, NNAPI, Qualcomm QNN, Hexagon NN and Samsung ENN delegates.
4. Updated in-app ranking table.
5. Various bug fixes and performance improvements.
arm64-v8a
Android 5.0+
nodpi
38
August 8, 2023
AI Benchmark
5.1.0
(38)
Requires Android: Android 5.0+
Architecture: armeabi-v7a
Screen DPI: nodpi
SHA1: 39f7379a8a57fa563ceed85f0f2dd1ceb8e39b09
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.armeabi_v7a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xxhdpi, config.zh
Size: 739.09 MB
What's New:
1. Added NPU power consumption benchmark.
2. Update TFLite runtime.
3. Updated TFLite GPU, NNAPI, Qualcomm QNN, Hexagon NN and Samsung ENN delegates.
4. Updated in-app ranking table.
5. Various bug fixes and performance improvements.
2. Update TFLite runtime.
3. Updated TFLite GPU, NNAPI, Qualcomm QNN, Hexagon NN and Samsung ENN delegates.
4. Updated in-app ranking table.
5. Various bug fixes and performance improvements.
armeabi-v7a
Android 5.0+
nodpi
38
August 11, 2023
AI Benchmark
5.1.0
(38)
Requires Android: Android 5.0+
Architecture: arm64-v8a
Screen DPI: nodpi
SHA1: d119e23990528a9f7ab7bdbd95f277cae510dd5f
Base APK: org.benchmark.demo.apk
Split APKs: ai_benchmark_assets, config.ar, config.arm64_v8a, config.de, config.en, config.es, config.fr, config.hi, config.in, config.it, config.ja, config.ko, config.my, config.pt, config.ru, config.th, config.tr, config.vi, config.xhdpi, config.zh
Size: 773 MB
What's New:
1. Added NPU power consumption benchmark.
2. Update TFLite runtime.
3. Updated TFLite GPU, NNAPI, Qualcomm QNN, Hexagon NN and Samsung ENN delegates.
4. Updated in-app ranking table.
5. Various bug fixes and performance improvements.
2. Update TFLite runtime.
3. Updated TFLite GPU, NNAPI, Qualcomm QNN, Hexagon NN and Samsung ENN delegates.
4. Updated in-app ranking table.
5. Various bug fixes and performance improvements.
arm64-v8a
Android 5.0+
nodpi
More Information
Package Name:
Update Date:
2024-09-26
Latest Version:
6.0.0
Need Update:
Available on:
Requirements:
Android 5.0+
Report:
Safe to Download
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