Acer Aspire A14-52M
Geekbench AI Score
3006
Single Precision Score
15437
Half Precision Score
22400
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BrantB |
| Upload Date | March 05 2026 11:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1929
358.8 IPS |
|
|
Image Classification (HP)
|
100% |
5793
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
6021
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5520
89.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6690
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3402
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
99829
116.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
199789
234.0 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
14086
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
19629
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
5413
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
25492
302.9 IPS |
|
|
Face Detection (Q)
|
100% |
54269
644.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2889
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55575
428.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
92005
716.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10017
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149251
191.9 IPS |
|
|
Style Transfer (Q)
|
98% |
255969
330.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32246
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47402
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1439
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2310
39.8 IPS |
