samsung SM-A217M
Geekbench AI Score
312
Single Precision Score
305
Half Precision Score
318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A217M |
| Model ID | samsung SM-A217M |
| 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 | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
100% |
230
42.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
337
5.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
544
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
218
17.6 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
95% |
520
6.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
463
3.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
474
4.34 IPS |
|
|
Style Transfer (SP)
|
89% |
1363
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1360
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1287
1.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
272
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
135
180.0 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.1 IPS |
|
|
Text Classification (Q)
|
88% |
151
203.1 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.16 IPS |
