| User | ngocanh198 |
| Upload Date | March 27 2026 04:20 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | 1873-S-P-O-O-F-E-R-29246 1873-S-P-O-O-F-E-R-29246 |
| Motherboard | 1877-S-P-O-O-F-E-R-7226 1877-S-P-O-O-F-E-R-7226 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
920
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
890
165.4 IPS |
|
|
Image Classification (Q)
|
99% |
771
143.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7636
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
7149
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
6742
7.90 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (Q)
|
83% |
928
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
1579
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4119
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4006
30.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3278
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12358
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12142
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10625
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2412
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
504
674.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1558
26.9 IPS |
|
|
Machine Translation (Q)
|
70% |
686
12.9 IPS |