| User | TechFi |
| Upload Date | March 10 2026 02:47 PM |
| Views | 12 |
| 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% |
2820
524.4 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.5 IPS |
|
|
Image Classification (Q)
|
100% |
5748
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5241
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
14473
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
3101
246.0 IPS |
|
|
Object Detection (Q)
|
88% |
6094
488.5 IPS |
|
|
Face Detection (SP)
|
100% |
8090
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
9299
110.5 IPS |
|
|
Face Detection (Q)
|
100% |
15262
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8021
61.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15765
122.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16829
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17709
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41155
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8397
311.0 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2239
38.6 IPS |