Acer Aspire A515-57G
Geekbench AI Score
2226
Single Precision Score
899
Half Precision Score
4327
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A515-57G |
| Motherboard | ADL Ganymede_ADU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.5 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (Q)
|
99% |
3294
614.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
5173
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3945
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2279
2.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
11722
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
86% |
3634
292.1 IPS |
|
|
Face Detection (SP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5574
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4918
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1276
9.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
8941
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8939
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6367
8.18 IPS |
|
|
Style Transfer (Q)
|
98% |
12281
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2996
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.3 IPS |
|
|
Text Classification (Q)
|
97% |
979
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
65% |
1767
35.5 IPS |
