ASUS System Product Name
Geekbench ML Score
4727
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 09:30 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% |
1997
373.8 IPS |
|
|
Image Classification (F16)
|
100% |
2002
374.6 IPS |
|
|
Image Classification (I8)
|
99% |
5018
939.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2029
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2146
35.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3365
56.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
13244
16.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13231
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
34525
41.8 IPS |
|
|
Object Detection (F32)
|
100% |
1761
131.5 IPS |
|
|
Object Detection (F16)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (I8)
|
62% |
2284
170.5 IPS |
|
|
Face Detection (F32)
|
100% |
3915
46.6 IPS |
|
|
Face Detection (F16)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (I8)
|
89% |
6016
71.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10698
83.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10530
81.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
20285
157.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20671
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27275
35.9 IPS |
|
|
Style Transfer (I8)
|
98% |
41270
54.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3581
127.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3228
115.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5314
189.8 IPS |
|
|
Text Classification (F32)
|
100% |
1663
2.39 KIPS |
|
|
Text Classification (F16)
|
100% |
1581
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
457
656.3 IPS |
|
|
Machine Translation (F32)
|
100% |
3088
56.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3015
55.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3956
72.8 IPS |
