| Upload Date | February 06 2026 06:20 PM |
| Views | 8 |
| 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 ASUS EXPERTBOOK B9406CAA |
| Motherboard | ASUSTeK COMPUTER INC. B9406CAA |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2620
487.3 IPS |
|
|
Image Classification (HP)
|
100% |
2706
503.1 IPS |
|
|
Image Classification (Q)
|
100% |
5835
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3191
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1767
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5242
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5478
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4840
5.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
12914
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
2214
175.6 IPS |
|
|
Object Detection (Q)
|
88% |
6094
488.5 IPS |
|
|
Face Detection (SP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
9126
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
14524
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6975
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6072
46.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15846
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16459
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13476
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39822
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3297
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3039
112.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8443
312.7 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2803
48.3 IPS |