tensorflow ryzen zen 4

Tests for a future article. AMD Ryzen 9 7950X3D 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX on Ubuntu 23.04 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 2303294-PTS-TENSORFL34
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7600x a
March 29 2023
  1 Hour, 32 Minutes
7600x b
March 29 2023
  2 Hours, 22 Minutes
7950x3d a
March 29 2023
  48 Minutes
7950x3d b
March 29 2023
  48 Minutes
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7600x a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

7600x b

Processor: AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

7950x3d a

7950x3d b

Changed Processor to AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads).

tensorflow ryzen zen 4OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads)AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR X670E HERO (9927 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 2000GBAMD Radeon RX 7900 XTX (2304/1249MHz)AMD Device ab30ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.046.2.8-060208-generic (x86_64)GNOME Shell 44.0X Server 1.21.1.7 + Wayland4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49)OpenCL 2.1 AMD-APP (3513.0)GCC 12.2.0ext43840x2160ProcessorsMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionTensorflow Ryzen Zen 4 BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203- Python 3.11.2- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

7600x a7600x b7950x3d a7950x3d bResult OverviewPhoronix Test Suite100%138%175%213%250%BlenderBlenderBlenderBlenderBlenderTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowTensorFlowBarbershop - CPU-OnlyPabellon Barcelona - CPU-OnlyBMW27 - CPU-OnlyFishy Cat - CPU-OnlyClassroom - CPU-OnlyCPU - 512 - AlexNetCPU - 256 - AlexNetCPU - 64 - AlexNetCPU - 32 - GoogLeNetCPU - 64 - GoogLeNetCPU - 16 - GoogLeNetCPU - 32 - AlexNetCPU - 256 - GoogLeNetCPU - 512 - GoogLeNetCPU - 64 - ResNet-50CPU - 32 - ResNet-50CPU - 256 - ResNet-50CPU - 16 - ResNet-50CPU - 16 - AlexNet

tensorflow ryzen zen 4tensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNetblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Only7600x a7600x b7950x3d a7950x3d b114.42145.54166.15186.23188.782.0827.8680.7327.8180.0527.6379.5427.5379.77127.87333.15163.191202.85411.84114.73145.45164.76186.31190.3081.9527.8580.7627.8079.9227.6679.6127.5479.77128.26333.68162.921202.67410.66176259.68340.13419.28430.57146.6943.14149.544.34145.144.16137.9543.85136.952.113666.56480.88167.38176.37258.45339.62418.85430.58146.4343.24149.6644.32145.1944.24137.7543.9136.9751.96135.866.16480.34166.53OpenBenchmarking.org

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b4080120160200SE +/- 0.04, N = 3114.42114.73176.00176.37
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b306090120150Min: 114.67 / Avg: 114.73 / Max: 114.81

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b60120180240300SE +/- 0.21, N = 3145.54145.45259.68258.45
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b50100150200250Min: 145.17 / Avg: 145.45 / Max: 145.86

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b70140210280350SE +/- 0.14, N = 3166.15164.76340.13339.62
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b60120180240300Min: 164.52 / Avg: 164.76 / Max: 164.99

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b90180270360450SE +/- 0.42, N = 3186.23186.31419.28418.85
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b70140210280350Min: 185.47 / Avg: 186.31 / Max: 186.77

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b90180270360450SE +/- 1.32, N = 3188.70190.30430.57430.58
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: AlexNet7600x a7600x b7950x3d a7950x3d b80160240320400Min: 188.94 / Avg: 190.3 / Max: 192.94

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150SE +/- 0.08, N = 382.0881.95146.69146.43
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150Min: 81.82 / Avg: 81.95 / Max: 82.11

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b1020304050SE +/- 0.01, N = 327.8627.8543.1443.24
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b918273645Min: 27.83 / Avg: 27.85 / Max: 27.87

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150SE +/- 0.02, N = 380.7380.76149.50149.66
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150Min: 80.72 / Avg: 80.76 / Max: 80.8

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b1020304050SE +/- 0.01, N = 327.8127.8044.3444.32
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b918273645Min: 27.77 / Avg: 27.8 / Max: 27.82

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150SE +/- 0.04, N = 380.0579.92145.10145.19
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150Min: 79.86 / Avg: 79.92 / Max: 80

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b1020304050SE +/- 0.00, N = 327.6327.6644.1644.24
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b918273645Min: 27.65 / Avg: 27.66 / Max: 27.66

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150SE +/- 0.05, N = 379.5479.61137.95137.75
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b306090120150Min: 79.54 / Avg: 79.61 / Max: 79.72

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 256 - Model: ResNet-507600x a7600x b7950x3d a7950x3d b102030405027.5327.5443.8543.90

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 512 - Model: GoogLeNet7600x a7600x b7950x3d a7950x3d b30609012015079.7779.77136.90136.97

Device: CPU - Batch Size: 512 - Model: ResNet-50

7600x a: The test quit with a non-zero exit status.

7600x b: The test quit with a non-zero exit status.

7950x3d a: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

7950x3d b: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: BMW27 - Compute: CPU-Only7600x a7600x b7950x3d a7950x3d b306090120150127.87128.2652.1051.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Classroom - Compute: CPU-Only7600x a7600x b7950x3d a7950x3d b70140210280350333.15333.68136.00135.80

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Fishy Cat - Compute: CPU-Only7600x a7600x b7950x3d a7950x3d b4080120160200163.19162.9266.5666.16

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Barbershop - Compute: CPU-Only7600x a7600x b7950x3d a7950x3d b300600900120015001202.851202.67480.88480.34

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.5Blend File: Pabellon Barcelona - Compute: CPU-Only7600x a7600x b7950x3d a7950x3d b90180270360450411.84410.66167.38166.53

7600x a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 March 2023 09:54 by user pts.

7600x b

Processor: AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 March 2023 10:51 by user pts.

7950x3d a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 March 2023 14:44 by user pts.

7950x3d b

Processor: AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa601203
Python Notes: Python 3.11.2
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 March 2023 15:34 by user pts.