samsung SM-A176B
Geekbench AI Score
401
Single Precision Score
399
Half Precision Score
742
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 05:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A176B |
| Model ID | samsung SM-A176B |
| Motherboard | s5e8535 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
214
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (Q)
|
100% |
588
109.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
663
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
954
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
887
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1252
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
476
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
95% |
1148
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
724
5.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
1121
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1359
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2890
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.0 IPS |
|
|
Text Classification (HP)
|
100% |
188
250.6 IPS |
|
|
Text Classification (Q)
|
88% |
374
503.9 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
50% |
231
8.21 IPS |
