Acer Aspire A315-58
Geekbench AI Score
840
Single Precision Score
476
Half Precision Score
2046
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jordatech |
| Upload Date | April 20 2026 09:25 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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
99% |
1548
288.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1805
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1220
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
4567
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
1651
132.7 IPS |
|
|
Face Detection (SP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
549
6.53 IPS |
|
|
Face Detection (Q)
|
97% |
2944
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1555
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3917
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3069
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2526
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6379
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1579
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.0 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (Q)
|
97% |
546
732.0 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (Q)
|
65% |
965
19.4 IPS |
