samsung SM-A155M
Geekbench AI Score
517
Single Precision Score
517
Half Precision Score
951
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A155M |
| Model ID | samsung SM-A155M |
| Motherboard | a15 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
100% |
652
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1613
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
638
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (Q)
|
95% |
1473
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
939
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
966
7.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1488
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1863
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1859
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3695
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.2 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.0 IPS |
|
|
Text Classification (Q)
|
88% |
500
674.8 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.26 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
