Samsung Galaxy A21s
Geekbench AI Score
283
Single Precision Score
284
Half Precision Score
281
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 12:49 PM |
| Views | 3 |
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% |
142
26.4 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (Q)
|
100% |
200
37.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
301
4.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
436
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.5 IPS |
|
|
Object Detection (Q)
|
87% |
176
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.21 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
95% |
461
5.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
100% |
446
3.43 IPS |
|
|
Depth Estimation (Q)
|
75% |
496
4.02 IPS |
|
|
Style Transfer (SP)
|
89% |
1237
1.61 IPS |
|
|
Style Transfer (HP)
|
89% |
1283
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1189
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.64 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.8 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.5 IPS |
|
|
Text Classification (Q)
|
88% |
131
176.1 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
50% |
72
2.56 IPS |
