ASUS System Product Name
Geekbench ML Score
4779
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 09:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| 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% |
1899
355.4 IPS |
|
|
Image Classification (F16)
|
100% |
1794
335.7 IPS |
|
|
Image Classification (I8)
|
99% |
4853
908.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2176
36.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2354
39.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3006
50.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
12932
15.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13147
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
40255
48.7 IPS |
|
|
Object Detection (F32)
|
100% |
2224
166.0 IPS |
|
|
Object Detection (F16)
|
100% |
1995
148.9 IPS |
|
|
Object Detection (I8)
|
62% |
2070
154.5 IPS |
|
|
Face Detection (F32)
|
100% |
4312
51.3 IPS |
|
|
Face Detection (F16)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (I8)
|
89% |
6175
73.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
9853
76.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10059
78.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
20394
158.2 IPS |
|
|
Style Transfer (F32)
|
100% |
19146
25.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24834
32.7 IPS |
|
|
Style Transfer (I8)
|
98% |
41783
55.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3752
134.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4113
146.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5221
186.4 IPS |
|
|
Text Classification (F32)
|
100% |
1670
2.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1696
2.44 KIPS |
|
|
Text Classification (I8)
|
98% |
449
645.1 IPS |
|
|
Machine Translation (F32)
|
100% |
3074
56.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2930
53.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3915
72.0 IPS |
