| Upload Date | December 12 2025 03:54 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21TK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4912
913.6 IPS |
|
|
Image Classification (HP)
|
100% |
4915
914.0 IPS |
|
|
Image Classification (Q)
|
99% |
4259
794.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7455
120.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7144
115.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6813
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
118302
138.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
179329
209.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
99557
116.6 IPS |
|
|
Object Detection (SP)
|
100% |
6122
485.6 IPS |
|
|
Object Detection (HP)
|
99% |
6915
548.5 IPS |
|
|
Object Detection (Q)
|
87% |
4502
361.6 IPS |
|
|
Face Detection (SP)
|
100% |
16147
191.9 IPS |
|
|
Face Detection (HP)
|
100% |
18042
214.4 IPS |
|
|
Face Detection (Q)
|
97% |
13690
163.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38441
296.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40094
308.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
26062
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
212488
273.2 IPS |
|
|
Style Transfer (HP)
|
100% |
296614
381.3 IPS |
|
|
Style Transfer (Q)
|
98% |
168428
217.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21689
800.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29703
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15585
577.1 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (Q)
|
70% |
760
14.3 IPS |