samsung SM-X216B
Geekbench AI Score
193
Single Precision Score
193
Half Precision Score
462
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Benchmarker |
| Upload Date | October 30 2025 09:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X216B |
| Model ID | samsung SM-X216B |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
306
57.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
338
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
799
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.93 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
87% |
328
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
656
7.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
620
5.63 IPS |
|
|
Style Transfer (SP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1236
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (Q)
|
91% |
312
418.8 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
