Acer Aspire A315-58
Geekbench AI Score
836
Single Precision Score
465
Half Precision Score
2056
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jordatech |
| Upload Date | April 20 2026 08:49 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% |
600
111.5 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
99% |
1684
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1734
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
4387
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (Q)
|
86% |
1633
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
516
6.13 IPS |
|
|
Face Detection (Q)
|
97% |
2800
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1459
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
676
5.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
3728
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3020
3.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2320
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
5513
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1700
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
535
713.5 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.3 IPS |
|
|
Text Classification (Q)
|
97% |
625
837.4 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
65% |
1057
21.2 IPS |
