| User | Michal_F |
| Upload Date | August 15 2024 08:49 PM |
| Views | 9 |
| Notes | CO -15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2755
512.3 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.9 IPS |
|
|
Image Classification (Q)
|
99% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
3012
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7275
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6298
7.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
28427
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
88% |
2787
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
4243
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
390
4.64 IPS |
|
|
Face Detection (Q)
|
97% |
5728
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9328
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
12578
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19396
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16033
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30307
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3279
121.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4697
173.9 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
482
645.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3232
72.1 IPS |