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.

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
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
ARMv8 Neoverse-V2
February 26
  3 Hours, 15 Minutes
b
February 26
  39 Minutes
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Only show results matching title/arguments (delimit multiple options with a comma):
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smoke, "LZ4 Compression 1.9.4 - Compression Level: 1 - Compression Speed", Higher Results Are Better "ARMv8 Neoverse-V2",820.37,820.22,821.57 "b", "Quicksilver 20230818 - Input: CORAL2 P1", Higher Results Are Better "ARMv8 Neoverse-V2",7910000,7510000,7396000,7604000,7530000,7800000,7688000 "b", "LZ4 Compression 1.9.4 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "ARMv8 Neoverse-V2",4375.2,4375.6,4376.5 "b", "LZ4 Compression 1.9.4 - Compression Level: 3 - Compression Speed", Higher Results Are Better "ARMv8 Neoverse-V2",133.79,133.69,133.69 "b", "LZ4 Compression 1.9.4 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "ARMv8 Neoverse-V2",3744.7,3746.3,3742.3 "b", "LZ4 Compression 1.9.4 - Compression Level: 9 - Compression Speed", Higher Results Are Better "ARMv8 Neoverse-V2",44.55,44.56,44.57 "b", "LZ4 Compression 1.9.4 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "ARMv8 Neoverse-V2",3677,3665.8,3665 "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "Quicksilver 20230818 - Input: CORAL2 P2", Higher Results Are Better "ARMv8 Neoverse-V2",6662000,7189000,7223000,6919000,7118000,7324000,7222000,7333000,6861000 "b", "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l", Higher Results Are Better "ARMv8 Neoverse-V2", "b", "VVenC 1.11 - Video Input: Bosphorus 4K - Video Preset: Fast", Higher Results Are Better "ARMv8 Neoverse-V2",4.146,4.135,4.132 "b", "VVenC 1.11 - Video Input: Bosphorus 4K - Video Preset: Faster", Higher Results Are Better "ARMv8 Neoverse-V2",8.761,8.734,8.736 "b", "VVenC 1.11 - Video Input: Bosphorus 1080p - Video Preset: Fast", Higher Results Are Better "ARMv8 Neoverse-V2",8.49,8.469,8.41 "b", "VVenC 1.11 - Video Input: Bosphorus 1080p - Video Preset: Faster", Higher Results Are Better "ARMv8 Neoverse-V2",16.8,16.797,16.783 "b", "Quicksilver 20230818 - Input: CTS2", Higher Results Are Better "ARMv8 Neoverse-V2",4509000,4643000,4604000 "b",