Samsung Galaxy A21s
Geekbench AI Score
314
Single Precision Score
307
Half Precision Score
304
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 12 2026 09:00 AM |
| Views | 6 |
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% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
100% |
189
35.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
319
5.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
472
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
189
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
95% |
500
5.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
512
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
446
3.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
487
4.46 IPS |
|
|
Style Transfer (SP)
|
89% |
1363
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1399
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1312
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
140
186.8 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.8 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.7 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
50% |
92
3.27 IPS |
