| Upload Date | January 30 2026 11:55 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4464
830.1 IPS |
|
|
Image Classification (HP)
|
100% |
7674
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10907
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5724
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8407
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
35168
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
77754
91.1 IPS |
|
|
Object Detection (SP)
|
100% |
4182
331.7 IPS |
|
|
Object Detection (HP)
|
100% |
6548
519.4 IPS |
|
|
Object Detection (Q)
|
88% |
11173
895.8 IPS |
|
|
Face Detection (SP)
|
100% |
12576
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
19678
233.8 IPS |
|
|
Face Detection (Q)
|
100% |
35830
425.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10754
82.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19764
152.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
36871
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25168
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58080
74.7 IPS |
|
|
Style Transfer (Q)
|
98% |
105056
135.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5317
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17136
632.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33514
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2412
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5204
89.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5271
90.8 IPS |