Acer Aspire A315-58
Geekbench AI Score
854
Single Precision Score
473
Half Precision Score
2104
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Benjamin_Personal |
| Upload Date | April 20 2026 09:01 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% |
583
108.3 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.2 IPS |
|
|
Image Classification (Q)
|
99% |
1677
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1894
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1011
1.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
4455
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
86% |
1697
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.20 IPS |
|
|
Face Detection (Q)
|
97% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1511
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
681
5.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
3602
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2869
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2432
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
5958
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1728
64.0 IPS |
|
|
Text Classification (SP)
|
100% |
522
696.7 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.6 IPS |
|
|
Text Classification (Q)
|
97% |
626
838.9 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
65% |
1066
21.4 IPS |
