ASUS System Product Name
Geekbench ML Score
5095
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 08:46 PM |
| 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 X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| 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% |
2010
376.2 IPS |
|
|
Image Classification (F16)
|
100% |
2002
374.6 IPS |
|
|
Image Classification (I8)
|
99% |
5031
941.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2607
43.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2477
41.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3223
53.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
13241
16.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13224
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
40155
48.6 IPS |
|
|
Object Detection (F32)
|
100% |
2226
166.2 IPS |
|
|
Object Detection (F16)
|
100% |
2288
170.8 IPS |
|
|
Object Detection (I8)
|
62% |
2154
160.8 IPS |
|
|
Face Detection (F32)
|
100% |
4529
53.9 IPS |
|
|
Face Detection (F16)
|
100% |
4532
53.9 IPS |
|
|
Face Detection (I8)
|
89% |
6427
76.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10619
82.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10669
82.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
22990
178.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28172
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28059
36.9 IPS |
|
|
Style Transfer (I8)
|
98% |
43970
57.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4158
148.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4045
144.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4833
172.6 IPS |
|
|
Text Classification (F32)
|
100% |
1669
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1676
2.41 KIPS |
|
|
Text Classification (I8)
|
98% |
413
593.4 IPS |
|
|
Machine Translation (F32)
|
100% |
3336
61.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3394
62.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3978
73.2 IPS |
