Acer Aspire A14-52MT
Geekbench AI Score
2997
Single Precision Score
1325
Half Precision Score
5966
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | bearmedic |
| Upload Date | July 09 2025 01:32 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A14-52MT |
| Motherboard | LNL Tiramisu_LNV |
| Power Plan | Acer |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2236
415.7 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (Q)
|
99% |
4943
922.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6589
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4470
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3248
3.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
16113
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
4993
401.3 IPS |
|
|
Face Detection (SP)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
7573
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6128
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12277
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8325
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19981
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4226
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
612
817.2 IPS |
|
|
Text Classification (Q)
|
97% |
1165
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2386
48.0 IPS |
