Samsung Galaxy A21s
Geekbench AI Score
327
Single Precision Score
328
Half Precision Score
328
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 04:51 PM |
| Views | 1 |
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 | 2.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
100% |
230
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
334
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
797
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
540
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
221
17.8 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
95% |
623
7.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
587
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
596
4.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
553
5.06 IPS |
|
|
Style Transfer (SP)
|
89% |
1607
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1548
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1297
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
270
10.0 IPS |
|
|
Text Classification (SP)
|
100% |
137
182.7 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.3 IPS |
|
|
Text Classification (Q)
|
88% |
149
200.3 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.13 IPS |
