| Upload Date | November 17 2025 08:38 AM |
| Views | 2 |
| 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. B860M AORUS ELITE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS ELITE WIFI6E |
| Power Plan | Balanced |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10884
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18146
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
9815
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15524
251.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19978
323.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14278
232.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
163368
190.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
455799
531.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
140826
165.0 IPS |
|
|
Object Detection (SP)
|
100% |
13991
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
22241
1.76 KIPS |
|
|
Object Detection (Q)
|
83% |
12037
972.5 IPS |
|
|
Face Detection (SP)
|
100% |
33397
396.8 IPS |
|
|
Face Detection (HP)
|
100% |
46435
551.7 IPS |
|
|
Face Detection (Q)
|
97% |
29529
352.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
69314
534.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
132125
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54927
438.4 IPS |
|
|
Style Transfer (SP)
|
100% |
226893
291.7 IPS |
|
|
Style Transfer (HP)
|
100% |
753143
968.2 IPS |
|
|
Style Transfer (Q)
|
98% |
197469
254.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40747
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75802
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32502
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2415
45.3 IPS |