Tests for a future article. AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2403290-PTS-5900HXEO83
5900hx eo q1
Tests for a future article. AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.
,,"a","b"
Processor,,AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads),AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads)
Motherboard,,ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS),ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS)
Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne
Memory,,2 x 8GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2,2 x 8GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2
Disk,,512GB SAMSUNG MZVLQ512HBLU-00B00,512GB SAMSUNG MZVLQ512HBLU-00B00
Graphics,,ASUS AMD Cezanne 512MB (2500/1000MHz),ASUS AMD Cezanne 512MB (2500/1000MHz)
Audio,,AMD Navi 21/23,AMD Navi 21/23
Monitor,,LQ156M1JW25,LQ156M1JW25
Network,,Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI,Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS,,Ubuntu 22.10,Ubuntu 22.10
Kernel,,5.19.0-46-generic (x86_64),5.19.0-46-generic (x86_64)
Desktop,,GNOME Shell 43.0,GNOME Shell 43.0
Display Server,,X Server 1.21.1.4 + Wayland,X Server 1.21.1.4 + Wayland
OpenGL,,4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47),4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47)
Vulkan,,1.3.224,1.3.224
Compiler,,GCC 12.2.0,GCC 12.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"a","b"
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,152.81,154.22
"Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,208.77,208.69
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,395.99,397.59
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,186.33,185.76
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,1474.59,1490.95
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,481.62,482.13
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,155860,155503
"Primesieve - Length: 1e12 (sec)",LIB,19.271,19.252
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,33.77,33.06
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,15.49,15.18
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,19.76,19.22
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,19.66,20.77
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,20.11,18.59
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,9.21,9.17
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,9.15,8.69
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,8.67,9.34
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,9.33,9.55
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.22,6.34
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.22,6.18
"PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.22,5.90
"Stockfish - Chess Benchmark (Nodes/s)",HIB,11509974,12942804
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.635,3.654
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,26.055,25.999
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,64.012,62.739
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,65.498,64.383
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,12.928,13.026
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,86.626,83.871
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,285.015,266.973
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,329.497,332.898
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,4.61,4.72
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,41.54,42.63
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,57.09,58.04
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,69.68,70.84
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,13.04,13.2
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,5.33,5.48
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,21.87,22.1
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,7.85,7.87
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,21.78,21.9
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,7.72,7.8
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,21.68,21.83
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,7.69,7.84
"Timed Mesa Compilation - Time To Compile (sec)",LIB,44.555,43.986