| Upload Date | November 06 2025 12:51 AM |
| Views | 5 |
| 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. ROG STRIX Z890-A GAMING WIFI |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5539
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (Q)
|
99% |
9967
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16270
264.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14507
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8406
9.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
46243
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
4706
373.3 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
86% |
11648
936.1 IPS |
|
|
Face Detection (SP)
|
100% |
12770
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
13547
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15272
117.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3535
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25137
200.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31240
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22020
28.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26259
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6307
233.5 IPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1716
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4654
93.5 IPS |