samsung SM-A217N
Geekbench AI Score
307
Single Precision Score
307
Half Precision Score
298
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 12:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A217N |
| Model ID | samsung SM-A217N |
| 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% |
143
26.5 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.7 IPS |
|
|
Image Classification (Q)
|
100% |
187
34.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
471
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
190
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (HP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (Q)
|
95% |
501
5.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
486
4.46 IPS |
|
|
Style Transfer (SP)
|
89% |
1406
1.82 IPS |
|
|
Style Transfer (HP)
|
89% |
1409
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1331
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
277
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.3 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.2 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.0 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
50% |
91
3.22 IPS |
