Acer Aspire A14-52M
Geekbench AI Score
2754
Single Precision Score
1218
Half Precision Score
5450
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BrantB |
| Upload Date | March 05 2026 11:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A14-52M |
| Motherboard | LNL Tiramisu_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
99% |
4438
827.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5780
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4097
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
13755
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.7 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
86% |
4199
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
1288
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
7025
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5533
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10605
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10215
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7340
9.44 IPS |
|
|
Style Transfer (Q)
|
98% |
17567
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4155
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.5 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2294
46.1 IPS |
