samsung SM-A045F
Geekbench AI Score
249
Single Precision Score
259
Half Precision Score
288
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 12:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A045F |
| Model ID | samsung SM-A045F |
| Motherboard | a04 |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| 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 | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
100% |
180
33.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
309
5.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
463
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
83% |
199
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
95% |
555
6.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
409
3.75 IPS |
|
|
Style Transfer (SP)
|
89% |
1068
1.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1075
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1050
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
198
7.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.44 IPS |
|
|
Text Classification (SP)
|
100% |
127
168.9 IPS |
|
|
Text Classification (HP)
|
100% |
125
166.7 IPS |
|
|
Text Classification (Q)
|
88% |
166
223.2 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
50% |
77
2.72 IPS |
