Acer Aspire A315-58
Geekbench AI Score
828
Single Precision Score
480
Half Precision Score
2059
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Benjamin_Personal |
| Upload Date | April 20 2026 09:09 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% |
582
108.3 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
99% |
1753
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1868
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
4633
5.43 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
1660
133.4 IPS |
|
|
Face Detection (SP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (Q)
|
97% |
2912
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1473
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
680
5.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
3136
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2840
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2253
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
5576
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1562
57.8 IPS |
|
|
Text Classification (SP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.6 IPS |
|
|
Text Classification (Q)
|
97% |
586
784.7 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
65% |
1169
23.5 IPS |
