| User | Zztony |
| Upload Date | November 23 2025 12:54 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (HP)
|
100% |
3120
580.2 IPS |
|
|
Image Classification (Q)
|
100% |
2319
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3519
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3728
60.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3167
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
61351
71.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
83414
97.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
48808
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3358
266.4 IPS |
|
|
Object Detection (Q)
|
88% |
2710
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
8678
103.1 IPS |
|
|
Face Detection (HP)
|
100% |
9706
115.3 IPS |
|
|
Face Detection (Q)
|
97% |
7390
88.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20282
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23464
180.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14795
118.5 IPS |
|
|
Style Transfer (SP)
|
100% |
101097
130.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138190
177.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82130
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11152
411.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12852
474.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7574
280.4 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.7 IPS |
|
|
Text Classification (HP)
|
100% |
712
950.9 IPS |
|
|
Text Classification (Q)
|
97% |
396
531.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.9 IPS |
|
|
Machine Translation (Q)
|
70% |
496
9.31 IPS |