ampere altra mnn
ARMv8 Neoverse-N1 testing with a System76 Thelio Astra (3.02 BIOS) and NVIDIA RTX A400/PCIe 4GB on Ubuntu 24.04 via the Phoronix Test Suite.


a: 

	Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: System76 Thelio Astra (3.02 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 8 x 32GB DDR4-3200MT/s Micron 18ASF4G72PDZ-3G2F1, Disk: 1024GB KINGSTON SKC3000S1024G, Graphics: NVIDIA RTX A400/PCIe 4GB, Audio: NVIDIA Device 2291, Monitor: DELL P2415Q, Network: 2 x Intel X550 + Intel I210

	OS: Ubuntu 24.04, Kernel: 6.8.0-48-generic-64k (aarch64), Desktop: GNOME Shell 46.0, Display Server: X Server, Display Driver: NVIDIA 550.120, OpenGL: 4.6.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160

b: 

	Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: System76 Thelio Astra (3.02 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 8 x 32GB DDR4-3200MT/s Micron 18ASF4G72PDZ-3G2F1, Disk: 1024GB KINGSTON SKC3000S1024G, Graphics: NVIDIA RTX A400/PCIe 4GB, Audio: NVIDIA Device 2291, Monitor: DELL P2415Q, Network: 2 x Intel X550 + Intel I210

	OS: Ubuntu 24.04, Kernel: 6.8.0-48-generic-64k (aarch64), Desktop: GNOME Shell 46.0, Display Server: X Server, Display Driver: NVIDIA 550.120, OpenGL: 4.6.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160

c: 

	Processor: ARMv8 Neoverse-N1 @ 3.00GHz (128 Cores), Motherboard: System76 Thelio Astra (3.02 BIOS), Chipset: Ampere Computing LLC Altra PCI Root Complex A, Memory: 8 x 32GB DDR4-3200MT/s Micron 18ASF4G72PDZ-3G2F1, Disk: 1024GB KINGSTON SKC3000S1024G, Graphics: NVIDIA RTX A400/PCIe 4GB, Audio: NVIDIA Device 2291, Monitor: DELL P2415Q, Network: 2 x Intel X550 + Intel I210

	OS: Ubuntu 24.04, Kernel: 6.8.0-48-generic-64k (aarch64), Desktop: GNOME Shell 46.0, Display Server: X Server, Display Driver: NVIDIA 550.120, OpenGL: 4.6.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160


Mobile Neural Network 3.0
Model: nasnet
ms < Lower Is Better
a . 8.192 |===================================================================
b . 8.261 |====================================================================
c . 8.063 |==================================================================


Mobile Neural Network 3.0
Model: mobilenetV3
ms < Lower Is Better
a . 1.403 |====================================================================
b . 1.413 |====================================================================
c . 1.366 |==================================================================


Mobile Neural Network 3.0
Model: squeezenetv1.1
ms < Lower Is Better
a . 1.704 |===================================================================
b . 1.735 |====================================================================
c . 1.720 |===================================================================


Mobile Neural Network 3.0
Model: resnet-v2-50
ms < Lower Is Better
a . 8.440 |====================================================================
b . 8.289 |===================================================================
c . 8.308 |===================================================================


Mobile Neural Network 3.0
Model: SqueezeNetV1.0
ms < Lower Is Better
a . 3.169 |===================================================================
b . 3.207 |====================================================================
c . 3.152 |===================================================================


Mobile Neural Network 3.0
Model: MobileNetV2_224
ms < Lower Is Better
a . 1.917 |===================================================================
b . 1.936 |====================================================================
c . 1.903 |===================================================================


Mobile Neural Network 3.0
Model: mobilenet-v1-1.0
ms < Lower Is Better
a . 1.505 |====================================================================
b . 1.504 |====================================================================
c . 1.465 |==================================================================


Mobile Neural Network 3.0
Model: inception-v3
ms < Lower Is Better
a . 12.00 |====================================================================
b . 11.90 |===================================================================
c . 11.82 |===================================================================