Samsung Galaxy Tab A9+ Wifi samsung SM-X210
Geekbench AI Score
127
Single Precision Score
127
Half Precision Score
357
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 01:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| Motherboard | blair |
| Governor | walt |
| 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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
73
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (Q)
|
99% |
233
43.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
273
4.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
524
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.72 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.74 IPS |
|
|
Object Detection (Q)
|
87% |
243
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
214
2.54 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
552
6.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
168
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
168
1.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
470
4.27 IPS |
|
|
Style Transfer (SP)
|
100% |
306
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
306
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
979
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79
2.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
79
2.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
296
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
103
137.4 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.1 IPS |
|
|
Text Classification (Q)
|
91% |
252
338.1 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (Q)
|
57% |
221
5.39 IPS |
