| User | MiSA |
| Upload Date | December 02 2025 02:04 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M GAMING X WIFI6E |
| Power Plan | Kiegyenslyozott |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3729
693.5 IPS |
|
|
Image Classification (HP)
|
99% |
8325
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
3171
591.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6643
107.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11652
188.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5270
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33879
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
129932
151.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29019
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4448
352.8 IPS |
|
|
Object Detection (HP)
|
100% |
9889
784.4 IPS |
|
|
Object Detection (Q)
|
84% |
3546
286.0 IPS |
|
|
Face Detection (SP)
|
100% |
10004
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
18786
223.2 IPS |
|
|
Face Detection (Q)
|
97% |
8105
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21017
161.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48144
370.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14976
120.0 IPS |
|
|
Style Transfer (SP)
|
100% |
61769
79.4 IPS |
|
|
Style Transfer (HP)
|
100% |
178009
228.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46840
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14429
532.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26738
987.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8199
303.6 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3143
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1239
23.2 IPS |