Acer Aspire A315-58
Geekbench AI Score
851
Single Precision Score
457
Half Precision Score
2028
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jordatech |
| Upload Date | April 20 2026 08:01 AM |
| Views | 4 |
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% |
614
114.1 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.7 IPS |
|
|
Image Classification (Q)
|
99% |
1824
340.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1976
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1340
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
4940
5.79 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
86% |
1808
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (Q)
|
97% |
3126
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1426
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
3116
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2667
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2094
2.69 IPS |
|
|
Style Transfer (Q)
|
98% |
5383
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1380
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
449
598.7 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (Q)
|
97% |
531
710.9 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
65% |
954
19.2 IPS |
