Acer Aspire A14-52M
Geekbench AI Score
9827
Single Precision Score
26803
Half Precision Score
32107
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BrantB |
| Upload Date | March 05 2026 11:20 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) (iGPU) |
| 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% |
5933
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
12922
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
16446
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8221
133.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23356
378.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28163
456.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22339
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
125373
146.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
229455
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
5702
452.3 IPS |
|
|
Object Detection (HP)
|
100% |
15240
1.21 KIPS |
|
|
Object Detection (Q)
|
88% |
19609
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
12652
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
32022
380.5 IPS |
|
|
Face Detection (Q)
|
100% |
45825
544.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19226
148.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50809
391.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
58690
456.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54889
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
187975
241.6 IPS |
|
|
Style Transfer (Q)
|
98% |
273939
353.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9024
333.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27204
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34374
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3735
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3222
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6975
120.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6848
118.0 IPS |
