Acer Aspire A14-52M
Geekbench AI Score
2678
Single Precision Score
27172
Half Precision Score
44041
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 11 2026 04:03 PM |
| Views | 1 |
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 258V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
15265
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
18215
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19330
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32324
524.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
109103
127.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
242542
284.1 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
14287
1.13 KIPS |
|
|
Object Detection (Q)
|
88% |
24795
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
34908
414.8 IPS |
|
|
Face Detection (Q)
|
100% |
84612
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3953
30.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
83040
644.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
153275
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
9804
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236617
304.2 IPS |
|
|
Style Transfer (Q)
|
98% |
358390
462.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38674
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
69541
2.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2059
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3623
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2609
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6407
110.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6621
114.0 IPS |
