| User | teknoseyir |
| Upload Date | December 17 2024 11:56 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK P5405CSA |
| Motherboard | ASUSTeK COMPUTER INC. P5405CSA |
| Power Plan | Dengeli |
| 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% |
6777
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
12944
2.41 KIPS |
|
|
Image Classification (Q)
|
100% |
15598
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8236
133.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19466
315.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22084
358.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22375
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125089
146.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
247571
289.8 IPS |
|
|
Object Detection (SP)
|
100% |
5968
473.4 IPS |
|
|
Object Detection (HP)
|
100% |
13730
1.09 KIPS |
|
|
Object Detection (Q)
|
88% |
14155
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
12348
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
30175
358.5 IPS |
|
|
Face Detection (Q)
|
100% |
36646
435.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21339
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55485
427.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
66710
518.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52077
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
147963
190.2 IPS |
|
|
Style Transfer (Q)
|
98% |
166457
214.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9550
352.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24382
900.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26793
992.2 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4337
5.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4406
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4941
85.1 IPS |