| Upload Date | November 03 2025 07:06 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860M-PLUS |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4725
878.7 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.4 IPS |
|
|
Image Classification (Q)
|
99% |
9545
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15670
254.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14180
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8348
9.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
44406
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
4713
373.8 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
86% |
10277
825.9 IPS |
|
|
Face Detection (SP)
|
100% |
13302
158.1 IPS |
|
|
Face Detection (HP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
13012
155.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14189
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3545
27.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
22226
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30981
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21108
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29290
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5125
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6714
248.6 IPS |
|
|
Text Classification (SP)
|
100% |
1920
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1598
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3051
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1454
25.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4386
88.1 IPS |