| User | gshaw1967 |
| Upload Date | February 20 2025 12:40 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4132
768.4 IPS |
|
|
Image Classification (HP)
|
100% |
8407
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
10923
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5815
94.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13570
220.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15300
248.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16017
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53995
63.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
153980
180.3 IPS |
|
|
Object Detection (SP)
|
100% |
3973
315.1 IPS |
|
|
Object Detection (HP)
|
100% |
9503
753.8 IPS |
|
|
Object Detection (Q)
|
88% |
9792
784.7 IPS |
|
|
Face Detection (SP)
|
100% |
9589
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
23559
279.9 IPS |
|
|
Face Detection (Q)
|
100% |
26993
320.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13305
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33203
255.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
40425
314.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28924
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
101718
130.8 IPS |
|
|
Style Transfer (Q)
|
98% |
94030
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22549
832.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23424
867.5 IPS |
|
|
Text Classification (SP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2059
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3186
54.9 IPS |