Samsung Galaxy A21s
Geekbench AI Score
150
Single Precision Score
158
Half Precision Score
149
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 22 2024 02:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 850 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy A21s |
| Model ID | samsung SM-A217F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (Q)
|
100% |
123
22.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
114
1.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
127
2.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
274
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
71
5.66 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.65 IPS |
|
|
Object Detection (Q)
|
83% |
99
8.02 IPS |
|
|
Face Detection (SP)
|
100% |
157
1.87 IPS |
|
|
Face Detection (HP)
|
100% |
209
2.48 IPS |
|
|
Face Detection (Q)
|
95% |
220
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
236
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
235
1.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
188
1.72 IPS |
|
|
Style Transfer (SP)
|
89% |
800
1.04 IPS |
|
|
Style Transfer (HP)
|
89% |
818
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
783
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.67 IPS |
|
|
Text Classification (SP)
|
100% |
61
81.4 IPS |
|
|
Text Classification (HP)
|
100% |
60
79.9 IPS |
|
|
Text Classification (Q)
|
88% |
60
81.5 IPS |
|
|
Machine Translation (SP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (HP)
|
100% |
101
1.74 IPS |
|
|
Machine Translation (Q)
|
50% |
44
1.56 IPS |
