Acer Aspire A514-52
Geekbench AI Score
372
Single Precision Score
418
Half Precision Score
654
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kot-ubitsa |
| Upload Date | December 20 2024 08:44 PM |
| Views | 11 |
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
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
100% |
381
70.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
407
6.62 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.44 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
3.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
1884
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
98% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
86% |
387
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
960
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
682
8.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
1535
11.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
1882
14.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1325
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5470
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
8156
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
4570
5.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
774
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.4 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.3 IPS |
|
|
Text Classification (Q)
|
97% |
190
254.5 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (Q)
|
70% |
211
3.97 IPS |
