samsung SM-X216B
Geekbench AI Score
546
Single Precision Score
548
Half Precision Score
1062
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 09 2025 03:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
730
135.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1738
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
724
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
95% |
1721
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1013
7.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1638
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1962
2.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1986
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3977
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1012
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.1 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.7 IPS |
|
|
Text Classification (Q)
|
88% |
596
803.4 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
