Acer Aspire A315-35
Geekbench AI Score
298
Single Precision Score
163
Half Precision Score
494
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | Asgardian456 |
| Upload Date | July 01 2025 07:21 AM |
| Views | 4 |
| Notes | Plugged in mode |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N5100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A315-35 |
| Motherboard | JSL Camellia_JL |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Celeron N5100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 1.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.0 IPS |
|
|
Image Classification (Q)
|
96% |
351
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
491
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
624
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.85 IPS |
|
|
Object Detection (Q)
|
58% |
245
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
540
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
220
2.61 IPS |
|
|
Face Detection (Q)
|
96% |
731
8.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
237
1.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
706
5.62 IPS |
|
|
Style Transfer (SP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (Q)
|
87% |
1297
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.4 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.7 IPS |
|
|
Text Classification (Q)
|
97% |
377
505.0 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
68% |
360
6.96 IPS |
