Acer Aspire A514-52
Geekbench AI Score
370
Single Precision Score
418
Half Precision Score
642
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kot-ubitsa |
| Upload Date | February 10 2025 08:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Acer Aspire A514-52 |
| Motherboard | CML Sneezy_WC |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
100% |
379
70.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.37 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.43 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
3.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
1726
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (Q)
|
86% |
371
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
681
8.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1544
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
1896
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1322
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5444
7.00 IPS |
|
|
Style Transfer (HP)
|
100% |
8169
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
4582
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
776
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.0 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.3 IPS |
|
|
Text Classification (Q)
|
97% |
188
252.2 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
70% |
211
3.96 IPS |
