samsung SM-X216B
Geekbench AI Score
509
Single Precision Score
510
Half Precision Score
997
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
778
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1572
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
673
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
95% |
1578
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
928
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
930
7.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
1549
14.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1785
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1844
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3630
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.0 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.5 IPS |
|
|
Text Classification (Q)
|
88% |
586
790.8 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.97 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
