Samsung Galaxy Tab A9+ Wifi samsung SM-X210
Geekbench AI Score
370
Single Precision Score
563
Half Precision Score
447
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 12:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
100% |
355
65.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (HP)
|
99% |
2305
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2271
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
99% |
288
22.8 IPS |
|
|
Object Detection (Q)
|
87% |
286
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
1284
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1078
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
872
6.72 IPS |
|
|
Depth Estimation (HP)
|
98% |
1385
10.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
1083
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1875
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3405
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3308
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
342
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
506
18.7 IPS |
|
|
Text Classification (SP)
|
35% |
15
144.1 IPS |
|
|
Text Classification (HP)
|
35% |
24
215.9 IPS |
|
|
Text Classification (Q)
|
33% |
18
218.0 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
97% |
303
5.25 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.36 IPS |
