Acer Aspire A14-52M
Geekbench AI Score
3176
Single Precision Score
2249
Half Precision Score
8361
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BrantB |
| Upload Date | March 05 2026 11:22 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 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% |
1900
353.2 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (Q)
|
100% |
5365
997.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4901
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
13186
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (Q)
|
88% |
5620
450.5 IPS |
|
|
Face Detection (SP)
|
100% |
5631
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
13773
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4746
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3311
25.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
14646
113.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10196
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6659
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
37244
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7635
282.8 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
4399
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2894
49.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3399
58.5 IPS |
