| Upload Date | February 10 2026 06:02 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 2000 Blackwell |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M DS3H WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M DS3H WIFI6E |
| Power Plan | Balanced |
| 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% |
8927
1.66 KIPS |
|
|
Image Classification (HP)
|
100% |
17357
3.23 KIPS |
|
|
Image Classification (Q)
|
99% |
8272
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15061
244.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25803
418.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13789
224.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
83299
97.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
330823
386.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75347
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
10649
844.7 IPS |
|
|
Object Detection (HP)
|
100% |
21869
1.73 KIPS |
|
|
Object Detection (Q)
|
83% |
9395
759.1 IPS |
|
|
Face Detection (SP)
|
100% |
25577
303.9 IPS |
|
|
Face Detection (HP)
|
100% |
47709
566.9 IPS |
|
|
Face Detection (Q)
|
97% |
22282
265.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46651
359.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102822
792.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
38204
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
139187
178.9 IPS |
|
|
Style Transfer (HP)
|
100% |
486777
625.8 IPS |
|
|
Style Transfer (Q)
|
98% |
119844
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26693
985.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55662
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21225
785.9 IPS |
|
|
Text Classification (SP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2346
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5409
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6200
106.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2010
37.7 IPS |