| User | TechFi |
| Upload Date | March 10 2026 02:59 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS NUC16GDKX76 |
| Motherboard | ASUSTeK COMPUTER INC. NUC16GDBX76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2815
523.4 IPS |
|
|
Image Classification (HP)
|
100% |
22413
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
28718
5.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3559
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14953
242.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22586
367.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6075
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
119099
139.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
276658
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
23310
1.85 KIPS |
|
|
Object Detection (Q)
|
87% |
30661
2.46 KIPS |
|
|
Face Detection (SP)
|
100% |
8176
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
53198
632.1 IPS |
|
|
Face Detection (Q)
|
100% |
83115
987.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7261
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94111
725.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
177282
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
16847
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244576
314.4 IPS |
|
|
Style Transfer (Q)
|
98% |
379639
489.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3493
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58560
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
113720
4.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4446
5.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5114
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
14642
252.2 IPS |
|
|
Machine Translation (Q)
|
100% |
15104
260.2 IPS |