Samsung Galaxy Tab S9
Geekbench AI Score
789
Single Precision Score
691
Half Precision Score
1275
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
100% |
1484
276.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1261
1.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2843
3.37 IPS |
|
|
Object Detection (SP)
|
98% |
381
30.3 IPS |
|
|
Object Detection (HP)
|
98% |
573
45.6 IPS |
|
|
Object Detection (Q)
|
83% |
946
76.4 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (Q)
|
95% |
1689
20.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1280
9.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
813
6.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1819
16.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2615
3.39 IPS |
|
|
Style Transfer (HP)
|
89% |
2807
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
4695
6.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1200
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
270
361.0 IPS |
|
|
Text Classification (HP)
|
99% |
327
435.9 IPS |
|
|
Text Classification (Q)
|
88% |
555
748.4 IPS |
|
|
Machine Translation (SP)
|
100% |
559
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
173
6.16 IPS |
