samsung SM-A145R
Geekbench AI Score
284
Single Precision Score
278
Half Precision Score
457
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CT |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A145R |
| Model ID | samsung SM-A145R |
| Motherboard | a14m |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.0 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.5 IPS |
|
|
Image Classification (Q)
|
100% |
298
55.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
419
6.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
577
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
268
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (HP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (Q)
|
95% |
1030
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
422
3.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
652
5.98 IPS |
|
|
Style Transfer (SP)
|
89% |
1324
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1353
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2170
2.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
237
8.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
250
9.24 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
331
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.3 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.3 IPS |
|
|
Text Classification (Q)
|
88% |
284
383.1 IPS |
|
|
Machine Translation (SP)
|
100% |
177
3.06 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (Q)
|
50% |
152
5.40 IPS |
