Acer Aspire A14-52M
Geekbench AI Score
6221
Single Precision Score
12248
Half Precision Score
4438
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BrantB |
| Upload Date | March 05 2026 11:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| 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% |
3486
648.2 IPS |
|
|
Image Classification (HP)
|
100% |
2578
479.4 IPS |
|
|
Image Classification (Q)
|
100% |
1476
274.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5941
96.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11094
179.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4486
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13247
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
96367
112.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14903
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
4122
327.0 IPS |
|
|
Object Detection (HP)
|
100% |
6156
488.3 IPS |
|
|
Object Detection (Q)
|
88% |
3433
275.3 IPS |
|
|
Face Detection (SP)
|
100% |
8233
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
13956
165.8 IPS |
|
|
Face Detection (Q)
|
97% |
5989
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16313
125.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32948
253.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11306
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53230
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
161767
208.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38873
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4529
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15336
566.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
663
888.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (Q)
|
70% |
999
18.7 IPS |
