Samsung Galaxy Tab A9+ Wifi samsung SM-X210
Geekbench AI Score
555
Single Precision Score
556
Half Precision Score
1073
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 04 2026 11:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1202
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1748
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
95% |
1720
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1034
7.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1038
8.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1646
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2052
2.66 IPS |
|
|
Style Transfer (HP)
|
89% |
2051
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4153
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1009
37.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
391.9 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.8 IPS |
|
|
Text Classification (Q)
|
88% |
594
800.6 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.47 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
