| Upload Date | January 30 2026 11:51 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B860-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 800 MHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5576
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
881
163.8 IPS |
|
|
Image Classification (Q)
|
99% |
9782
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16449
267.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14102
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8258
9.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
43908
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
5180
410.9 IPS |
|
|
Object Detection (HP)
|
100% |
1157
91.8 IPS |
|
|
Object Detection (Q)
|
86% |
12315
989.7 IPS |
|
|
Face Detection (SP)
|
100% |
15455
183.6 IPS |
|
|
Face Detection (HP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
13620
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16089
124.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3401
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24599
196.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32108
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21139
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31901
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7263
268.9 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4624
92.9 IPS |