Acer Aspire A517-53
Geekbench AI Score
546
Single Precision Score
138
Half Precision Score
1042
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 10 2025 08:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Acer Aspire A517-53 |
| Motherboard | ADL Amalthea_ADU |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.49 IPS |
|
|
Image Classification (Q)
|
97% |
868
162.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
497
8.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
2806
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.32 IPS |
|
|
Object Detection (Q)
|
86% |
861
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
69
0.82 IPS |
|
|
Face Detection (Q)
|
97% |
2169
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1119
8.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
174
1.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
2360
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2434
3.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1883
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3780
4.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
667
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.4 IPS |
|
|
Text Classification (HP)
|
100% |
95
126.7 IPS |
|
|
Text Classification (Q)
|
97% |
260
347.9 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
78
1.35 IPS |
|
|
Machine Translation (Q)
|
65% |
432
8.67 IPS |
