samsung SM-A155M
Geekbench AI Score
511
Single Precision Score
509
Half Precision Score
950
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
658
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1616
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
637
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (HP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (Q)
|
95% |
1472
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
860
6.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1485
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1858
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1854
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3702
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
892
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.1 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.5 IPS |
|
|
Text Classification (Q)
|
88% |
494
666.6 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
