Acer Aspire A315-58
Geekbench AI Score
843
Single Precision Score
456
Half Precision Score
2072
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jordatech |
| Upload Date | April 20 2026 08:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A315-58 |
| Motherboard | TGL Camellia_TL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
1455
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1790
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
4515
5.29 IPS |
|
|
Object Detection (SP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
86% |
1570
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.76 IPS |
|
|
Face Detection (Q)
|
97% |
2756
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1523
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
4074
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2982
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2535
3.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6407
8.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1675
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.5 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.6 IPS |
|
|
Text Classification (Q)
|
97% |
628
841.5 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1044
21.0 IPS |
