| User | TechFi |
| Upload Date | April 10 2026 11:08 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra X7 358H |
| 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% |
2801
520.9 IPS |
|
|
Image Classification (HP)
|
100% |
3164
588.5 IPS |
|
|
Image Classification (Q)
|
100% |
5723
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5369
87.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6084
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6081
7.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
14413
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
3059
242.7 IPS |
|
|
Object Detection (Q)
|
88% |
6018
482.4 IPS |
|
|
Face Detection (SP)
|
100% |
7944
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
9132
108.5 IPS |
|
|
Face Detection (Q)
|
100% |
15148
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7857
60.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
15600
121.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16808
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17661
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40845
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8315
307.9 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (Q)
|
92% |
4746
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2483
42.8 IPS |