samsung SM-X216B
Geekbench AI Score
190
Single Precision Score
292
Half Precision Score
307
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
97% |
199
37.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
285
4.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
270
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.66 IPS |
|
|
Object Detection (HP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (Q)
|
89% |
166
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.91 IPS |
|
|
Face Detection (Q)
|
97% |
511
6.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
422
3.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
345
3.27 IPS |
|
|
Style Transfer (SP)
|
100% |
480
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1043
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1033
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
206
7.63 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.6 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (Q)
|
91% |
308
413.8 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
57% |
254
6.20 IPS |
