1.0.0 System Test suite extracted from NVIDIA GH200 GPU. pts/pytorch-1.0.1 cpu 512 efficientnet_v2_l Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l pts/pytorch-1.0.1 cpu 1 efficientnet_v2_l Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l pts/pytorch-1.0.1 cpu 512 resnet152 Device: CPU - Batch Size: 512 - Model: ResNet-152 system/blender-1.2.1 -b barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 # NONE Blend File: Barbershop - Compute: CPU-Only system/blender-1.2.1 -b barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 # CUDA Blend File: Barbershop - Compute: CUDA pts/pytorch-1.0.1 cpu 1 resnet152 Device: CPU - Batch Size: 1 - Model: ResNet-152 pts/pytorch-1.0.1 cpu 512 resnet50 Device: CPU - Batch Size: 512 - Model: ResNet-50 system/blender-1.2.1 -b benchmark/pabellon_barcelona/pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 # CUDA Blend File: Pabellon Barcelona - Compute: CUDA system/blender-1.2.1 -b benchmark/pabellon_barcelona/pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 # NONE Blend File: Pabellon Barcelona - Compute: CPU-Only pts/pytorch-1.0.1 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 system/blender-1.2.1 -b benchmark/classroom/classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 # NONE Blend File: Classroom - Compute: CPU-Only system/blender-1.2.1 -b benchmark/classroom/classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 # CUDA Blend File: Classroom - Compute: CUDA system/blender-1.2.1 -b benchmark/fishy_cat/fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 # CUDA Blend File: Fishy Cat - Compute: CUDA system/blender-1.2.1 -b benchmark/fishy_cat/fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 # NONE Blend File: Fishy Cat - Compute: CPU-Only system/blender-1.2.1 -b benchmark/bmw27/bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 # NONE Blend File: BMW27 - Compute: CPU-Only system/blender-1.2.1 -b benchmark/bmw27/bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 # CUDA Blend File: BMW27 - Compute: CUDA pts/pytorch-1.0.1 cuda 1 efficientnet_v2_l Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l pts/pytorch-1.0.1 cuda 512 efficientnet_v2_l Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l pts/pytorch-1.0.1 cuda 1 resnet152 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152 pts/pytorch-1.0.1 cuda 512 resnet152 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 pts/pytorch-1.0.1 cuda 1 resnet50 Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50 pts/pytorch-1.0.1 cuda 512 resnet50 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50