Acer Aspire A14-52M
Geekbench AI Score
2478
Single Precision Score
1279
Half Precision Score
4896
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 08:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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(R) Core(TM) 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% |
1730
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
99% |
4088
762.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3096
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
11936
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
3999
321.4 IPS |
|
|
Face Detection (SP)
|
100% |
5093
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
6733
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4445
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10054
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7934
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6528
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
16433
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3425
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1227
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
679
907.0 IPS |
|
|
Text Classification (Q)
|
97% |
1568
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2784
55.9 IPS |
