Acer Aspire A315-51
Geekbench AI Score
792
Single Precision Score
471
Half Precision Score
1007
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | December 24 2025 01:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Windows 10 Enterprise N LTSC (64-bit) |
| Model | Acer Aspire A315-51 |
| Motherboard | KBL Venusaur_KL |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.8 IPS |
|
|
Image Classification (Q)
|
96% |
800
149.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
608
9.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
1854
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
58% |
503
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (Q)
|
96% |
1705
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1296
9.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
696
5.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
1923
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2645
3.40 IPS |
|
|
Style Transfer (HP)
|
100% |
2031
2.61 IPS |
|
|
Style Transfer (Q)
|
87% |
3484
4.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1013
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.1 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.3 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.6 IPS |
|
|
Machine Translation (SP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (Q)
|
68% |
799
15.4 IPS |
