ASUS System Product Name
Geekbench ML Score
6810
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 10:59 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2590
484.7 IPS |
|
|
Image Classification (F16)
|
100% |
2588
484.2 IPS |
|
|
Image Classification (I8)
|
99% |
6269
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2477
41.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2468
41.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4228
70.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
26554
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
26870
32.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
66629
80.7 IPS |
|
|
Object Detection (F32)
|
100% |
2708
202.1 IPS |
|
|
Object Detection (F16)
|
100% |
2748
205.1 IPS |
|
|
Object Detection (I8)
|
62% |
2930
218.7 IPS |
|
|
Face Detection (F32)
|
100% |
4504
53.6 IPS |
|
|
Face Detection (F16)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (I8)
|
89% |
6704
79.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12196
94.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
12075
93.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
28837
223.6 IPS |
|
|
Style Transfer (F32)
|
100% |
42224
55.5 IPS |
|
|
Style Transfer (F16)
|
100% |
44747
58.9 IPS |
|
|
Style Transfer (I8)
|
98% |
41598
54.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5598
199.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5897
210.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7752
276.8 IPS |
|
|
Text Classification (F32)
|
100% |
2364
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
2232
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1657
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
4096
75.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3984
73.3 IPS |
|
|
Machine Translation (I8)
|
67% |
5320
97.9 IPS |
