samsung SM-A047F
Geekbench AI Score
289
Single Precision Score
291
Half Precision Score
291
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | benched |
| Upload Date | October 08 2024 06:09 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Samsung |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A047F |
| Model ID | samsung SM-A047F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM Samsung |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
100% |
196
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
462
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
83% |
187
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
95% |
480
5.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
438
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
467
3.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
472
4.33 IPS |
|
|
Style Transfer (SP)
|
89% |
1350
1.75 IPS |
|
|
Style Transfer (HP)
|
89% |
1353
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1283
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
268
9.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
9.99 IPS |
|
|
Text Classification (SP)
|
100% |
135
180.2 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.0 IPS |
|
|
Text Classification (Q)
|
88% |
148
199.3 IPS |
|
|
Machine Translation (SP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
50% |
86
3.05 IPS |
