| Upload Date | August 08 2025 06:10 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B760M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5468
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
7518
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
7634
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10672
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13580
220.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13579
220.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
66932
78.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
185391
216.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
251787
294.8 IPS |
|
|
Object Detection (SP)
|
100% |
5016
397.9 IPS |
|
|
Object Detection (HP)
|
100% |
8745
693.7 IPS |
|
|
Object Detection (Q)
|
88% |
9083
727.9 IPS |
|
|
Face Detection (SP)
|
100% |
22926
272.4 IPS |
|
|
Face Detection (HP)
|
100% |
31286
371.7 IPS |
|
|
Face Detection (Q)
|
100% |
31482
374.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24257
186.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47964
369.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
50537
392.8 IPS |
|
|
Style Transfer (SP)
|
100% |
171345
220.3 IPS |
|
|
Style Transfer (HP)
|
100% |
286520
368.3 IPS |
|
|
Style Transfer (Q)
|
98% |
347356
447.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16821
621.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23437
865.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23141
857.0 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2148
37.0 IPS |