Samsung Galaxy A21s
Geekbench AI Score
261
Single Precision Score
261
Half Precision Score
266
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 08:00 AM |
| Views | 4 |
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% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
100% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
239
3.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
430
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (Q)
|
95% |
457
5.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
365
2.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
441
4.03 IPS |
|
|
Style Transfer (SP)
|
89% |
1250
1.62 IPS |
|
|
Style Transfer (HP)
|
89% |
1261
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1172
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
250
9.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.44 IPS |
|
|
Text Classification (SP)
|
100% |
126
167.6 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.5 IPS |
|
|
Text Classification (Q)
|
88% |
134
180.6 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (HP)
|
100% |
200
3.44 IPS |
|
|
Machine Translation (Q)
|
50% |
82
2.92 IPS |
