samsung SM-A155M
Geekbench AI Score
464
Single Precision Score
461
Half Precision Score
843
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 12:06 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
100% |
616
114.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1496
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
550
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.34 IPS |
|
|
Face Detection (HP)
|
100% |
621
7.38 IPS |
|
|
Face Detection (Q)
|
95% |
1283
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
847
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
808
6.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1265
11.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1513
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1639
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3236
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
778
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
235
313.8 IPS |
|
|
Text Classification (HP)
|
100% |
235
313.4 IPS |
|
|
Text Classification (Q)
|
88% |
435
586.2 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.05 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
