Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB 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 2311188-SYST-PYTORCH48 pytorch blender - Phoronix Test Suite pytorch blender Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2311188-SYST-PYTORCH48&grs&sro .
pytorch blender Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL OpenCL Compiler File-System Screen Resolution a b c Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Dell 0GG9PT (3.15.0 BIOS) Intel Tiger Lake-LP 16GB Kioxia KBG40ZNS256G NVMe 256GB Intel Xe TGL GT2 15GB (1300MHz) Realtek ALC289 Intel Wi-Fi 6 AX201 Ubuntu 23.10 6.5.0-10-generic (x86_64) GNOME Shell 45.0 X Server + Wayland 4.6 Mesa 23.2.1-1ubuntu3 OpenCL 3.0 GCC 13.2.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xac - Thermald 2.5.4 Python Details - Python 3.11.6 Security Details - gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: 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 Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
pytorch blender pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 64 - ResNet-152 blender: BMW27 - CPU-Only pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 512 - ResNet-50 blender: Pabellon Barcelona - CPU-Only pytorch: CPU - 512 - Efficientnet_v2_l blender: Fishy Cat - CPU-Only a b c 11.75 14.12 13.80 7.15 5.36 13.72 5.57 3.85 31.88 5.27 5.24 438.09 13.46 4.02 3.99 5.35 3.98 13.38 1472.73 4.01 556.85 10.70 13.43 13.41 7.46 5.41 13.34 5.41 4.00 31.34 5.43 5.37 432.24 13.42 3.98 4.03 5.40 4.01 13.39 1469.98 4.02 556.98 11.81 14.45 14.24 7.56 5.64 13.97 5.65 4.00 32.32 5.41 5.39 431.69 13.61 4.02 4.02 5.40 3.99 13.42 1473.91 4.01 556.13 OpenBenchmarking.org
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a b c 3 6 9 12 15 11.75 10.70 11.81 MIN: 8.55 / MAX: 12.87 MIN: 8.62 / MAX: 12.74 MIN: 10.34 / MAX: 13.05
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c 4 8 12 16 20 14.12 13.43 14.45 MIN: 11.87 / MAX: 17.34 MIN: 8.88 / MAX: 13.62 MIN: 9.83 / MAX: 17.22
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b c 4 8 12 16 20 13.80 13.41 14.24 MIN: 11.74 / MAX: 17.31 MIN: 11.76 / MAX: 13.58 MIN: 11.11 / MAX: 17.38
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a b c 2 4 6 8 10 7.15 7.46 7.56 MIN: 6.42 / MAX: 7.22 MIN: 6.36 / MAX: 9.61 MIN: 6.3 / MAX: 9.63
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a b c 1.269 2.538 3.807 5.076 6.345 5.36 5.41 5.64 MIN: 4.88 / MAX: 5.41 MIN: 3.94 / MAX: 5.46 MIN: 4.01 / MAX: 6.72
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b c 4 8 12 16 20 13.72 13.34 13.97 MIN: 9.17 / MAX: 17.4 MIN: 8.69 / MAX: 13.57 MIN: 11.64 / MAX: 17.55
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a b c 1.2713 2.5426 3.8139 5.0852 6.3565 5.57 5.41 5.65 MIN: 4.94 / MAX: 6.57 MIN: 4.95 / MAX: 5.48 MIN: 5.07 / MAX: 6.69
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l a b c 0.9 1.8 2.7 3.6 4.5 3.85 4.00 4.00 MIN: 3.13 / MAX: 3.9 MIN: 3.37 / MAX: 4.05 MIN: 3.39 / MAX: 4.06
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 8 16 24 32 40 31.88 31.34 32.32 MIN: 18.82 / MAX: 32.98 MIN: 22.74 / MAX: 33.12 MIN: 23.75 / MAX: 33.31
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 a b c 1.2218 2.4436 3.6654 4.8872 6.109 5.27 5.43 5.41 MIN: 4.7 / MAX: 5.31 MIN: 4.97 / MAX: 5.49 MIN: 4.7 / MAX: 5.47
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 a b c 1.2128 2.4256 3.6384 4.8512 6.064 5.24 5.37 5.39 MIN: 4.85 / MAX: 5.35 MIN: 5.08 / MAX: 5.42 MIN: 5.09 / MAX: 5.44
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: BMW27 - Compute: CPU-Only a b c 90 180 270 360 450 438.09 432.24 431.69
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b c 3 6 9 12 15 13.46 13.42 13.61 MIN: 11.82 / MAX: 16.64 MIN: 11.82 / MAX: 13.58 MIN: 8.8 / MAX: 17.24
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b c 0.9045 1.809 2.7135 3.618 4.5225 4.02 3.98 4.02 MIN: 3.5 / MAX: 4.06 MIN: 3.1 / MAX: 4.04 MIN: 3.41 / MAX: 4.07
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b c 0.9068 1.8136 2.7204 3.6272 4.534 3.99 4.03 4.02 MIN: 3.42 / MAX: 4.04 MIN: 3.16 / MAX: 4.08 MIN: 2.79 / MAX: 4.08
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 a b c 1.215 2.43 3.645 4.86 6.075 5.35 5.40 5.40 MIN: 4.54 / MAX: 5.4 MIN: 4.5 / MAX: 5.45 MIN: 4.63 / MAX: 5.46
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l a b c 0.9023 1.8046 2.7069 3.6092 4.5115 3.98 4.01 3.99 MIN: 3.14 / MAX: 4.04 MIN: 3.06 / MAX: 4.07 MIN: 2.15 / MAX: 4.05
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 a b c 3 6 9 12 15 13.38 13.39 13.42 MIN: 11.78 / MAX: 13.58 MIN: 11.46 / MAX: 13.65 MIN: 11.85 / MAX: 13.57
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only a b c 300 600 900 1200 1500 1472.73 1469.98 1473.91
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l a b c 0.9045 1.809 2.7135 3.618 4.5225 4.01 4.02 4.01 MIN: 3.47 / MAX: 4.06 MIN: 2.93 / MAX: 4.07 MIN: 3.39 / MAX: 4.06
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only a b c 120 240 360 480 600 556.85 556.98 556.13
Phoronix Test Suite v10.8.5