ASUS System Product Name
Geekbench ML Score
5444
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:57 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 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% |
2072
387.7 IPS |
|
|
Image Classification (F16)
|
100% |
2057
384.9 IPS |
|
|
Image Classification (I8)
|
99% |
5032
941.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2782
46.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2789
46.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3724
62.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
17132
20.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9388
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
48984
59.3 IPS |
|
|
Object Detection (F32)
|
100% |
2344
175.0 IPS |
|
|
Object Detection (F16)
|
100% |
2334
174.2 IPS |
|
|
Object Detection (I8)
|
62% |
2368
176.8 IPS |
|
|
Face Detection (F32)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (F16)
|
100% |
4591
54.6 IPS |
|
|
Face Detection (I8)
|
89% |
6455
76.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8940
69.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11683
90.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
24900
193.1 IPS |
|
|
Style Transfer (F32)
|
100% |
33837
44.5 IPS |
|
|
Style Transfer (F16)
|
100% |
34120
44.9 IPS |
|
|
Style Transfer (I8)
|
98% |
47044
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4574
163.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4588
163.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5827
208.1 IPS |
|
|
Text Classification (F32)
|
100% |
1730
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1734
2.49 KIPS |
|
|
Text Classification (I8)
|
98% |
460
661.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3630
66.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3613
66.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4429
81.5 IPS |
