Acer Aspire A14-52MT
Geekbench AI Score
3062
Single Precision Score
1290
Half Precision Score
6025
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 10:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A14-52MT |
| Motherboard | LNL Tiramisu_LNV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
99% |
4980
928.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6716
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4662
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2754
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
15536
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
4487
360.6 IPS |
|
|
Face Detection (SP)
|
100% |
6253
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
7413
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6305
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12107
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11207
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7282
9.36 IPS |
|
|
Style Transfer (Q)
|
98% |
20287
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4491
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
622
829.9 IPS |
|
|
Text Classification (Q)
|
97% |
1272
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2603
52.3 IPS |
