Samsung Galaxy A21s
Geekbench AI Score
120
Single Precision Score
117
Half Precision Score
118
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 04 2025 10:17 PM |
| Views | 14 |
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% |
53
9.90 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.3 IPS |
|
|
Image Classification (Q)
|
100% |
67
12.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
94
1.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
305
0.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
217
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.31 IPS |
|
|
Object Detection (HP)
|
100% |
61
4.87 IPS |
|
|
Object Detection (Q)
|
83% |
72
5.80 IPS |
|
|
Face Detection (SP)
|
100% |
136
1.62 IPS |
|
|
Face Detection (HP)
|
100% |
133
1.58 IPS |
|
|
Face Detection (Q)
|
95% |
206
2.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
225
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
200
1.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
222
2.03 IPS |
|
|
Style Transfer (SP)
|
89% |
640
0.83 IPS |
|
|
Style Transfer (HP)
|
89% |
647
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
660
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
119
4.42 IPS |
|
|
Text Classification (SP)
|
100% |
55
73.5 IPS |
|
|
Text Classification (HP)
|
100% |
46
61.5 IPS |
|
|
Text Classification (Q)
|
88% |
47
63.7 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (Q)
|
50% |
34
1.20 IPS |
