| Upload Date | January 01 2026 09:14 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 UD WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 UD WIFI6E |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| 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% |
10314
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
16921
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9065
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21385
346.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
32739
530.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19331
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
159213
185.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
463997
541.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
136653
160.1 IPS |
|
|
Object Detection (SP)
|
100% |
13930
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
22356
1.77 KIPS |
|
|
Object Detection (Q)
|
83% |
11894
961.0 IPS |
|
|
Face Detection (SP)
|
100% |
40566
482.0 IPS |
|
|
Face Detection (HP)
|
100% |
59721
709.6 IPS |
|
|
Face Detection (Q)
|
97% |
34285
408.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65001
500.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
124826
961.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
51738
413.0 IPS |
|
|
Style Transfer (SP)
|
100% |
219756
282.5 IPS |
|
|
Style Transfer (HP)
|
100% |
718447
923.6 IPS |
|
|
Style Transfer (Q)
|
98% |
189187
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37777
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67018
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30335
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2009
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5955
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6033
103.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2407
45.1 IPS |