Samsung Galaxy Tab S9
Geekbench AI Score
460
Single Precision Score
448
Half Precision Score
970
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 05:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
99% |
726
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
741
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1879
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
682
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (Q)
|
97% |
1342
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
573
4.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1309
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
922
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
2222
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
370
493.7 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.4 IPS |
|
|
Text Classification (Q)
|
91% |
621
834.4 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
436
10.7 IPS |
