ARMv8 Neoverse-V2 testing with a Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS) and ASPEED 96GB 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 2402267-NE-SMOKE254569
smoke
ARMv8 Neoverse-V2 testing with a Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS) and ASPEED 96GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"ARMv8 Neoverse-V2","b"
Processor,,ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores),ARMv8 Neoverse-V2 @ 3.39GHz (72 Cores)
Motherboard,,Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS),Quanta Cloud QuantaGrid S74G-2U 1S7GZ9Z0000 S7G MB (CG1) (3A06 BIOS)
Memory,,1 x 480GB DRAM-6400MT/s,1 x 480GB DRAM-6400MT/s
Disk,,960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9,960GB SAMSUNG MZ1L2960HCJR-00A07 + 1920GB SAMSUNG MZTL21T9
Graphics,,ASPEED 96GB,ASPEED 96GB
Network,,2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE,2 x Mellanox MT2910 + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,6.5.0-1007-NVIDIA-64k (aarch64),6.5.0-1007-NVIDIA-64k (aarch64)
Display Driver,,NVIDIA,NVIDIA
OpenCL,,OpenCL 3.0 CUDA 12.4.89,OpenCL 3.0 CUDA 12.4.89
Vulkan,,1.3.277,1.3.277
Compiler,,GCC 11.4.0 + CUDA 11.5,GCC 11.4.0 + CUDA 11.5
File-System,,ext4,ext4
Screen Resolution,,1920x1200,1920x1200
,,"ARMv8 Neoverse-V2","b"
"LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,820.72,823.44
"LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,4375.8,4387.8
"LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,133.72,133.86
"LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3744.4,3752.3
"LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,44.56,44.67
"LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,3669.3,3663.8
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,,
"PyTorch - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l (batches/sec)",HIB,,
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,4585333,4817000
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,7634000,7765000
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,7094556,7350000
"VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,4.138,4.146
"VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,8.744,8.722
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,8.456,8.382
"VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,16.793,16.736