| User | TechnoCat |
| Upload Date | March 20 2026 09:43 PM |
| Views | 5 |
| 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% |
1821
338.6 IPS |
|
|
Image Classification (HP)
|
100% |
1535
285.4 IPS |
|
|
Image Classification (Q)
|
100% |
5630
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5274
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5061
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4344
5.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
13993
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (HP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (Q)
|
88% |
5865
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
6257
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
5193
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
14442
171.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5619
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4407
34.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
15407
119.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13969
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11309
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39245
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2157
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8090
299.6 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4600
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2991
51.5 IPS |