| Upload Date | April 04 2025 06:50 AM |
| Views | 25 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | 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% |
7398
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
14298
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
16757
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9786
158.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23385
379.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28064
454.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23664
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
134649
157.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
254359
297.8 IPS |
|
|
Object Detection (SP)
|
100% |
6778
537.6 IPS |
|
|
Object Detection (HP)
|
100% |
15566
1.23 KIPS |
|
|
Object Detection (Q)
|
88% |
15252
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
14086
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
29289
348.0 IPS |
|
|
Face Detection (Q)
|
100% |
36425
432.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24380
187.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60524
466.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
65944
512.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52548
67.6 IPS |
|
|
Style Transfer (HP)
|
100% |
157668
202.7 IPS |
|
|
Style Transfer (Q)
|
98% |
169405
218.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9860
364.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27707
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29506
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
92% |
2983
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5660
97.5 IPS |