Acer Aspire A315-58
Geekbench AI Score
833
Single Precision Score
450
Half Precision Score
1911
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Benjamin_Personal |
| Upload Date | April 20 2026 09:15 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% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (Q)
|
99% |
1680
313.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1837
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1204
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
4402
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
1625
130.6 IPS |
|
|
Face Detection (SP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
97% |
2841
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1488
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
650
5.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
3416
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1965
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
4732
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1627
60.3 IPS |
|
|
Text Classification (SP)
|
100% |
513
685.0 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.3 IPS |
|
|
Text Classification (Q)
|
97% |
607
813.6 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
65% |
650
13.1 IPS |
