samsung SM-A125U
Geekbench AI Score
256
Single Precision Score
255
Half Precision Score
296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 02:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A125U |
| Model ID | samsung SM-A125U |
| Motherboard | a12u |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
108
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
100% |
168
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
602
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
474
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
201
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (Q)
|
95% |
566
6.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
405
3.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
468
4.29 IPS |
|
|
Style Transfer (SP)
|
89% |
1160
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1152
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1104
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.3 IPS |
|
|
Text Classification (HP)
|
100% |
132
175.7 IPS |
|
|
Text Classification (Q)
|
88% |
161
216.7 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.98 IPS |
