Ryzen 7 8700G
AMD Ryzen 7 8700G testing with a ASRock B650I Lightning WiFi (2.08.AS01 BIOS) and AMD Radeon 2GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2402098-NE-RYZEN787070&grr.
TensorFlow
Device: CPU - Batch Size: 512 - Model: VGG-16
TensorFlow
Device: GPU - Batch Size: 64 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 256 - Model: VGG-16
TensorFlow
Device: GPU - Batch Size: 32 - Model: VGG-16
TensorFlow
Device: GPU - Batch Size: 16 - Model: VGG-16
Timed Linux Kernel Compilation
Build: allmodconfig
TensorFlow
Device: CPU - Batch Size: 64 - Model: VGG-16
OpenSSL
Algorithm: ChaCha20-Poly1305
TensorFlow
Device: CPU - Batch Size: 32 - Model: VGG-16
Timed Godot Game Engine Compilation
Time To Compile
PyTorch
Device: CPU - Batch Size: 512 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 256 - Model: ResNet-50
SVT-HEVC
Tuning: 1 - Input: Bosphorus 4K
FFmpeg
Encoder: libx264 - Scenario: Upload
Unigine Valley
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL
Unigine Superposition
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGL
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: ChaCha20-Poly1305
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: SHA512
TensorFlow
Device: CPU - Batch Size: 16 - Model: VGG-16
PyTorch
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
PyTorch
Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l
PyTorch
Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l
PyTorch
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
PyTorch
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
GravityMark
Resolution: 1920 x 1080 - Renderer: Vulkan
GravityMark
Resolution: 1920 x 1080 - Renderer: Vulkan Ray-Tracing
GravityMark
Resolution: 1920 x 1080 - Renderer: OpenGL
GravityMark
Resolution: 1920 x 1080 - Renderer: OpenGL ES
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx264 - Scenario: Video On Demand
FFmpeg
Encoder: libx264 - Scenario: Platform
libavif avifenc
Encoder Speed: 0
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
PyTorch
Device: CPU - Batch Size: 64 - Model: ResNet-152
PyTorch
Device: CPU - Batch Size: 256 - Model: ResNet-152
PyTorch
Device: CPU - Batch Size: 16 - Model: ResNet-152
PyTorch
Device: CPU - Batch Size: 512 - Model: ResNet-152
PyTorch
Device: CPU - Batch Size: 32 - Model: ResNet-152
GLmark2
Resolution: 1920 x 1080
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
libgav1
Video Input: Chimera 1080p 10-bit
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
TensorFlow
Device: GPU - Batch Size: 1 - Model: VGG-16
Timed Linux Kernel Compilation
Build: defconfig
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
PyTorch
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
rav1e
Speed: 1
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 4K
x265
Video Input: Bosphorus 4K
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
John The Ripper
Test: MD5
John The Ripper
Test: HMAC-SHA512
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
TensorFlow
Device: GPU - Batch Size: 16 - Model: AlexNet
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
libavif avifenc
Encoder Speed: 2
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
PyTorch
Device: CPU - Batch Size: 32 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 64 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 16 - Model: ResNet-50
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
FFmpeg
Encoder: libx265 - Scenario: Live
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-152
rav1e
Speed: 5
QuantLib
Configuration: Multi-Threaded
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
rav1e
Speed: 10
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K
ParaView
Test: Many Spheres - Resolution: 1920 x 1080
ParaView
Test: Many Spheres - Resolution: 1920 x 1080
FFmpeg
Encoder: libx264 - Scenario: Live
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 1080p
libgav1
Video Input: Summer Nature 4K
x264
Video Input: Bosphorus 4K
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
rav1e
Speed: 6
John The Ripper
Test: WPA PSK
John The Ripper
Test: bcrypt
John The Ripper
Test: Blowfish
libgav1
Video Input: Chimera 1080p
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
TensorFlow
Device: CPU - Batch Size: 1 - Model: VGG-16
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
LZ4 Compression
Compression Level: 9 - Decompression Speed
LZ4 Compression
Compression Level: 9 - Compression Speed
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
LZ4 Compression
Compression Level: 3 - Decompression Speed
LZ4 Compression
Compression Level: 3 - Compression Speed
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
LZ4 Compression
Compression Level: 1 - Decompression Speed
LZ4 Compression
Compression Level: 1 - Compression Speed
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
QuantLib
Configuration: Single-Threaded
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Slow
GIMP
Test: unsharp-mask
TensorFlow
Device: CPU - Batch Size: 16 - Model: AlexNet
ParaView
Test: Wavelet Volume - Resolution: 1920 x 1080
ParaView
Test: Wavelet Volume - Resolution: 1920 x 1080
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 1080p
GIMP
Test: auto-levels
GIMP
Test: resize
GIMP
Test: rotate
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
dav1d
Video Input: Chimera 1080p 10-bit
dav1d
Video Input: Summer Nature 4K
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Slow
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
ParaView
Test: Wavelet Contour - Resolution: 1920 x 1080
ParaView
Test: Wavelet Contour - Resolution: 1920 x 1080
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
dav1d
Video Input: Chimera 1080p
TensorFlow
Device: GPU - Batch Size: 1 - Model: AlexNet
libgav1
Video Input: Summer Nature 1080p
Waifu2x-NCNN Vulkan
Scale: 2x - Denoise: 3 - TAA: Yes
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 6, Lossless
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
TensorFlow
Device: CPU - Batch Size: 1 - Model: AlexNet
x265
Video Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
libavif avifenc
Encoder Speed: 6
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
libavif avifenc
Encoder Speed: 10, Lossless
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Super Fast
x264
Video Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
dav1d
Video Input: Summer Nature 1080p
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Phoronix Test Suite v10.8.5