Benjamin Personal Acer Aspire A315-58
Geekbench AI Score
825
Single Precision Score
429
Half Precision Score
1979
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jordatech |
| Upload Date | April 19 2026 11:46 AM |
| Views | 5 |
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% |
554
103.0 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
99% |
1627
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1656
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1009
1.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
4444
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (Q)
|
86% |
1580
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
97% |
2629
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1504
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
651
5.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
3621
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2881
3.70 IPS |
|
|
Style Transfer (HP)
|
100% |
2422
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6272
8.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
567
756.3 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.0 IPS |
|
|
Text Classification (Q)
|
97% |
603
808.0 IPS |
|
|
Machine Translation (SP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
65% |
825
16.6 IPS |
