pyt

AMD Ryzen 7 7840U testing with a Framework FRANMDCP07 (03.03 BIOS) and AMD Phoenix1 512MB 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 2311177-NE-PYT09912200
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a
November 17 2023
  41 Minutes
b
November 17 2023
  2 Hours, 4 Minutes
c
November 17 2023
  41 Minutes
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  1 Hour, 9 Minutes

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a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

b

c

Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: AMD Phoenix1 512MB (2700/2800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Ubuntu 23.10, Kernel: 6.5.0-5-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2256x1504

pytOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads)Framework FRANMDCP07 (03.03 BIOS)AMD Device 14e816GB512GB Western Digital WD PC SN740 SDDPNQD-512GAMD Phoenix1 512MB (2700/2800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7922 802.11ax PCIUbuntu 23.106.5.0-5-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7 + Wayland4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0ext42256x1504ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionPyt BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced - Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%101%102%104%105%PyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchCPU - 16 - Efficientnet_v2_lCPU - 1 - ResNet-152CPU - 512 - Efficientnet_v2_lCPU - 256 - Efficientnet_v2_lCPU - 32 - Efficientnet_v2_lCPU - 1 - ResNet-50CPU - 64 - Efficientnet_v2_lCPU - 64 - ResNet-152CPU - 16 - ResNet-50CPU - 16 - ResNet-152CPU - 64 - ResNet-50CPU - 32 - ResNet-152CPU - 32 - ResNet-50CPU - 256 - ResNet-50CPU - 256 - ResNet-152CPU - 1 - Efficientnet_v2_lCPU - 512 - ResNet-152CPU - 512 - ResNet-50

pytpytorch: CPU - 256 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 512 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 256 - ResNet-152pytorch: CPU - 64 - ResNet-152pytorch: CPU - 16 - ResNet-152pytorch: CPU - 512 - ResNet-152pytorch: CPU - 32 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 16 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: CPU - 256 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 1 - ResNet-50abc7.957.958.078.007.9511.8911.9412.0411.8112.0611.5328.4128.2928.4928.2728.6419.7448.388.168.088.158.138.1511.7611.7811.8611.9211.8611.6927.9628.0528.0128.2928.1818.9547.268.138.328.268.238.1211.9312.0411.8111.8812.0111.5627.8127.8328.0028.5028.1919.6948.36OpenBenchmarking.org

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lbca246810SE +/- 0.04, N = 38.168.137.95MIN: 6.51 / MAX: 8.8MIN: 7.13 / MAX: 8.64MIN: 6.29 / MAX: 8.43

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lcba246810SE +/- 0.03, N = 38.328.087.95MIN: 7.08 / MAX: 8.83MIN: 6.63 / MAX: 8.62MIN: 6.64 / MAX: 8.58

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lcba246810SE +/- 0.04, N = 38.268.158.07MIN: 6.74 / MAX: 8.84MIN: 6.84 / MAX: 8.85MIN: 6.39 / MAX: 8.61

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lcba246810SE +/- 0.06, N = 38.238.138.00MIN: 6.6 / MAX: 8.75MIN: 6.49 / MAX: 8.69MIN: 6.26 / MAX: 8.59

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lbca246810SE +/- 0.04, N = 38.158.127.95MIN: 6.91 / MAX: 8.83MIN: 7.02 / MAX: 8.57MIN: 6.86 / MAX: 8.65

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152cab3691215SE +/- 0.04, N = 311.9311.8911.76MIN: 11.42 / MAX: 12.99MIN: 11.44 / MAX: 12.85MIN: 10.23 / MAX: 12.89

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152cab3691215SE +/- 0.08, N = 312.0411.9411.78MIN: 11.62 / MAX: 13.07MIN: 11.54 / MAX: 13.06MIN: 11.13 / MAX: 13.04

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152abc3691215SE +/- 0.09, N = 312.0411.8611.81MIN: 11.44 / MAX: 13MIN: 11.09 / MAX: 13MIN: 11.35 / MAX: 12.69

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152bca3691215SE +/- 0.02, N = 311.9211.8811.81MIN: 9.85 / MAX: 13.06MIN: 11.33 / MAX: 12.95MIN: 11.54 / MAX: 12.94

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152acb3691215SE +/- 0.08, N = 312.0612.0111.86MIN: 9.79 / MAX: 13.14MIN: 11.45 / MAX: 13.16MIN: 9.37 / MAX: 13.04

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lbca3691215SE +/- 0.09, N = 311.6911.5611.53MIN: 11.06 / MAX: 12.27MIN: 11.12 / MAX: 12.03MIN: 10.83 / MAX: 11.91

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50abc714212835SE +/- 0.14, N = 328.4127.9627.81MIN: 25.51 / MAX: 29.19MIN: 21.85 / MAX: 28.92MIN: 26.48 / MAX: 28.8

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50abc714212835SE +/- 0.09, N = 328.2928.0527.83MIN: 27.3 / MAX: 29.15MIN: 26.42 / MAX: 29.48MIN: 26.49 / MAX: 28.98

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50abc714212835SE +/- 0.07, N = 328.4928.0128.00MIN: 26.35 / MAX: 29.3MIN: 20.32 / MAX: 29.01MIN: 26.54 / MAX: 28.94

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50cba714212835SE +/- 0.14, N = 328.5028.2928.27MIN: 27.07 / MAX: 29.33MIN: 21.31 / MAX: 29.54MIN: 25.95 / MAX: 29.23

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50acb714212835SE +/- 0.13, N = 328.6428.1928.18MIN: 26.98 / MAX: 29.4MIN: 26.46 / MAX: 28.95MIN: 26.5 / MAX: 29.46

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152acb510152025SE +/- 0.11, N = 319.7419.6918.95MIN: 18.61 / MAX: 20.18MIN: 18.04 / MAX: 20.35MIN: 14.51 / MAX: 19.68

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50acb1122334455SE +/- 0.44, N = 648.3848.3647.26MIN: 41.22 / MAX: 50.02MIN: 41.06 / MAX: 49.91MIN: 41.53 / MAX: 51.31

a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 17 November 2023 01:08 by user phoronix.

b

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 17 November 2023 01:57 by user phoronix.

c

Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: AMD Phoenix1 512MB (2700/2800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Ubuntu 23.10, Kernel: 6.5.0-5-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2256x1504

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 17 November 2023 10:44 by user phoronix.