Samsung Galaxy Tab S9
Geekbench AI Score
987
Single Precision Score
1370
Half Precision Score
1310
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 12:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
933
173.5 IPS |
|
|
Image Classification (Q)
|
96% |
880
164.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1572
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1436
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
87% |
878
70.5 IPS |
|
|
Face Detection (SP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
3149
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1518
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2927
22.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2421
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3879
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
8773
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8699
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
380
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
375
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
452
602.9 IPS |
|
|
Text Classification (HP)
|
100% |
448
597.3 IPS |
|
|
Text Classification (Q)
|
91% |
672
902.7 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
511
12.5 IPS |
