Acer Aspire A514-55
Geekbench AI Score
1687
Single Precision Score
714
Half Precision Score
2611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Fil_911 |
| Upload Date | January 06 2025 08:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Acer Aspire A514-55 |
| Motherboard | ADL Europa_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 | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
99% |
1712
319.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1050
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2899
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1661
1.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
7989
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
86% |
2379
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
4714
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1123
8.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
7731
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6742
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4546
5.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10786
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2184
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.9 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1427
28.7 IPS |
