blender tensorflow tests

Tests for a future article. AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1905 BIOS) and NVIDIA GeForce RTX 3080 10GB on Ubuntu 23.10 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 2403264-PTS-BLENDERT34

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March 26

1 Hour, 31 Minutes

March 26

1 Hour, 31 Minutes

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1 Hour, 31 Minutes

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blender tensorflow tests Tests for a future article. AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1905 BIOS) and NVIDIA GeForce RTX 3080 10GB on Ubuntu 23.10 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads),AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads) Motherboard,,ASUS ROG STRIX X670E-E GAMING WIFI (1905 BIOS),ASUS ROG STRIX X670E-E GAMING WIFI (1905 BIOS) Chipset,,AMD Device 14d8,AMD Device 14d8 Memory,,2 x 16GB DRAM-6000MT/s G Skill F5-6000J3038F16G,2 x 16GB DRAM-6000MT/s G Skill F5-6000J3038F16G Disk,,2000GB Samsung SSD 980 PRO 2TB + 123GB SanDisk 3.2Gen1,2000GB Samsung SSD 980 PRO 2TB + 123GB SanDisk 3.2Gen1 Graphics,,NVIDIA GeForce RTX 3080 10GB,NVIDIA GeForce RTX 3080 10GB Audio,,NVIDIA GA102 HD Audio,NVIDIA GA102 HD Audio Monitor,,DELL U2723QE,DELL U2723QE Network,,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.7.0-060700-generic (x86_64),6.7.0-060700-generic (x86_64) Desktop,,GNOME Shell 45.2,GNOME Shell 45.2 Display Server,,X Server 1.21.1.7,X Server 1.21.1.7 Display Driver,,NVIDIA 550.54.14,NVIDIA 550.54.14 OpenGL,,4.6.0,4.6.0 OpenCL,,OpenCL 3.0 CUDA 12.4.89,OpenCL 3.0 CUDA 12.4.89 Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,3840x2160,3840x2160 ,,"a","b" "TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,5.67,5.65 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,16.14,16.11 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,18.45,18.3 "TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,19.16,18.93 "TensorFlow - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec)",HIB,19.73,19.51 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,171.33,170.54 "TensorFlow - Device: CPU - Batch Size: 256 - Model: VGG-16 (images/sec)",HIB,20,19.92 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,253.71,253.47 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,334.15,333.24 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,61.36,60.03 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,16.08,16.15 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,413.32,414.09 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,426.51,426.16 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,141.41,141.72 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,41.26,41.12 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,140.95,141.09 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,42.37,42.37 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,138.55,138.54 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,42.53,42.58 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,137.09,137.03 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,42.82,42.85 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,137.29,137.22 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,55.3,55.57 "Blender - Blend File: BMW27 - Compute: NVIDIA CUDA (sec)",LIB,13.36,13.39 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,73.28,73.58 "Blender - Blend File: BMW27 - Compute: NVIDIA OptiX (sec)",LIB,8.97,7.99 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,141.31,141.34 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,68.94,69 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,495.9,494.55 "Blender - Blend File: Junkshop - Compute: NVIDIA CUDA (sec)",LIB,21.25,21.28 "Blender - Blend File: Classroom - Compute: NVIDIA CUDA (sec)",LIB,26.5,26.54 "Blender - Blend File: Fishy Cat - Compute: NVIDIA CUDA (sec)",LIB,24.92,24.82 "Blender - Blend File: Junkshop - Compute: NVIDIA OptiX (sec)",LIB,14.3,13.4 "Blender - Blend File: Barbershop - Compute: NVIDIA CUDA (sec)",LIB,102.09,102.03 "Blender - Blend File: Classroom - Compute: NVIDIA OptiX (sec)",LIB,19.19,19.26 "Blender - Blend File: Fishy Cat - Compute: NVIDIA OptiX (sec)",LIB,13.17,13.17 "Blender - Blend File: Barbershop - Compute: NVIDIA OptiX (sec)",LIB,67.59,67.54 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,169.59,169.86 "Blender - Blend File: Pabellon Barcelona - Compute: NVIDIA CUDA (sec)",LIB,61.35,61.51 "Blender - Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX (sec)",LIB,22.01,