| Upload Date | April 14 2025 03:18 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK P5405CSA |
| Motherboard | ASUSTeK COMPUTER INC. P5405CSA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (HP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (Q)
|
100% |
5351
995.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5109
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
13242
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1910
151.5 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (Q)
|
88% |
5401
432.9 IPS |
|
|
Face Detection (SP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
13773
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4822
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3272
25.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
14208
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10185
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6617
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
37596
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7794
288.7 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4388
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3659
63.0 IPS |