| User | Antho_mtp_34 |
| Upload Date | April 19 2026 02:20 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10525
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
17730
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9651
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20662
335.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31185
505.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19198
312.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
164032
191.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
474761
554.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
141881
166.2 IPS |
|
|
Object Detection (SP)
|
100% |
14230
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
23361
1.85 KIPS |
|
|
Object Detection (Q)
|
83% |
11868
958.9 IPS |
|
|
Face Detection (SP)
|
100% |
40648
483.0 IPS |
|
|
Face Detection (HP)
|
100% |
58514
695.3 IPS |
|
|
Face Detection (Q)
|
97% |
34601
412.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67206
517.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
124145
956.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
53296
425.4 IPS |
|
|
Style Transfer (SP)
|
100% |
225831
290.3 IPS |
|
|
Style Transfer (HP)
|
100% |
738626
949.5 IPS |
|
|
Style Transfer (Q)
|
98% |
193971
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39213
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69079
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31861
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4598
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2238
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6213
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2831
53.1 IPS |