7950X renew

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 22.04 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 2304195-NE-7950XRENE79
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CPU Massive 6 Tests
Creator Workloads 3 Tests
HPC - High Performance Computing 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
Server CPU Tests 4 Tests

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  Test
  Duration
a
April 18 2023
  3 Hours, 50 Minutes
b
April 19 2023
  1 Hour, 4 Minutes
c
April 19 2023
  1 Hour, 4 Minutes
d
April 19 2023
  1 Hour, 4 Minutes
AMD Ryzen 9 7950X 16-Core
April 19 2023
  1 Hour, 4 Minutes
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  1 Hour, 38 Minutes

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7950X renew Suite 1.0.0 System Test suite extracted from 7950X renew. pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.9.0 --zlib -1 --no-rand-seed Test: Zlib pts/apache-3.0.0 -c 500 Concurrent Requests: 500 pts/apache-3.0.0 -c 1000 Concurrent Requests: 1000 pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.9.0 --futex -1 --no-rand-seed Test: Futex pts/apache-3.0.0 -c 200 Concurrent Requests: 200 pts/stress-ng-1.9.0 --malloc -1 --no-rand-seed Test: Malloc pts/apache-3.0.0 -c 100 Concurrent Requests: 100 pts/stress-ng-1.9.0 --sem -1 --no-rand-seed Test: Semaphores pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/stress-ng-1.9.0 --cache -1 --no-rand-seed Test: CPU Cache pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/geekbench-6.0.0 --compute Vulkan Test: GPU Vulkan pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/stress-ng-1.9.0 --fork -1 --no-rand-seed Test: Forking pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/geekbench-6.0.0 --single-core Test: CPU Single Core pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/stress-ng-1.9.0 --numa -1 --no-rand-seed Test: NUMA pts/stress-ng-1.9.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/stress-ng-1.9.0 --pthread -1 --no-rand-seed Test: Pthread pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/stress-ng-1.9.0 --mutex -1 --no-rand-seed Test: Mutex pts/stress-ng-1.9.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/stress-ng-1.9.0 --switch -1 --no-rand-seed Test: Context Switching pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/geekbench-6.0.0 --multi-core Test: CPU Multi Core pts/stress-ng-1.9.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/stress-ng-1.9.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/blender-3.5.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/stress-ng-1.9.0 --crypt -1 --no-rand-seed Test: Crypto pts/blender-3.5.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/stress-ng-1.9.0 --mmap -1 --no-rand-seed Test: MMAP pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/stress-ng-1.9.0 --poll -1 --no-rand-seed Test: Poll pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/blender-3.5.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/stress-ng-1.9.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/stress-ng-1.9.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/stress-ng-1.9.0 --memfd -1 --no-rand-seed Test: MEMFD pts/stress-ng-1.9.0 --funccall -1 --no-rand-seed Test: Function Call pts/blender-3.5.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/blender-3.5.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/stress-ng-1.9.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=googlenet Device: CPU - Batch Size: 512 - Model: GoogLeNet pts/stress-ng-1.9.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/stress-ng-1.9.0 --atomic -1 --no-rand-seed Test: Atomic pts/stress-ng-1.9.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=alexnet Device: CPU - Batch Size: 512 - Model: AlexNet pts/stress-ng-1.9.0 --hash -1 --no-rand-seed Test: Hash pts/geekbench-6.0.0 --compute OpenCL Test: GPU OpenCL pts/stress-ng-1.9.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/tensorflow-2.1.0 --device cpu --batch_size=512 --model=resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50