| Upload Date | January 29 2026 07:50 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire AG14-71M |
| Motherboard | Acer Aspire AG14-71M |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3782
703.3 IPS |
|
|
Image Classification (HP)
|
100% |
6112
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
7420
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6299
102.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11000
178.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15909
18.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
16189
18.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61113
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
6505
516.0 IPS |
|
|
Object Detection (Q)
|
88% |
10272
823.2 IPS |
|
|
Face Detection (SP)
|
100% |
4081
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
9304
110.6 IPS |
|
|
Face Detection (Q)
|
100% |
18517
220.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12078
93.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
22557
174.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
30975
240.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37161
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50559
65.0 IPS |
|
|
Style Transfer (Q)
|
98% |
130800
168.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6746
249.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11931
440.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18480
684.4 IPS |
|
|
Text Classification (SP)
|
71% |
1544
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2472
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2304
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2894
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2894
50.0 IPS |