Samsung Galaxy Tab S9
Geekbench AI Score
1763
Single Precision Score
2800
Half Precision Score
2269
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Lello75 |
| Upload Date | March 05 2026 05:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S9 |
| Model ID | samsung SM-X710 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1032
191.9 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.0 IPS |
|
|
Image Classification (Q)
|
99% |
1365
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3095
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
15626
18.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
15227
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
99% |
1469
116.5 IPS |
|
|
Object Detection (Q)
|
82% |
1439
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (Q)
|
97% |
5258
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4396
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6497
50.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
5149
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11069
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23844
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22264
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3628
134.4 IPS |
|
|
Text Classification (SP)
|
35% |
45
435.3 IPS |
|
|
Text Classification (HP)
|
35% |
70
633.7 IPS |
|
|
Text Classification (Q)
|
35% |
62
605.5 IPS |
|
|
Machine Translation (SP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (HP)
|
97% |
827
14.3 IPS |
|
|
Machine Translation (Q)
|
49% |
289
10.8 IPS |
