Acer Aspire A315-57G
Geekbench AI Score
733
Single Precision Score
726
Half Precision Score
530
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | ARALjfri |
| Upload Date | April 09 2025 12:38 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | Acer Aspire A315-57G |
| Motherboard | IL Happy_IL |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
593
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (Q)
|
99% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
422
6.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
705
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
85% |
384
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.62 IPS |
|
|
Face Detection (HP)
|
100% |
806
9.58 IPS |
|
|
Face Detection (Q)
|
97% |
900
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.24 IPS |
|
|
Depth Estimation (Q)
|
63% |
722
6.77 IPS |
|
|
Style Transfer (SP)
|
100% |
1010
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1014
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1576
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
529
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
350
470.3 IPS |
|
|
Machine Translation (SP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
58% |
287
6.75 IPS |
