Samsung Galaxy Tab S9
Geekbench AI Score
1833
Single Precision Score
1782
Half Precision Score
2589
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | vinku |
| Upload Date | September 23 2025 09:37 PM |
| Views | 10 |
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% |
1795
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
1798
334.3 IPS |
|
|
Image Classification (Q)
|
100% |
2638
490.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
5265
6.24 IPS |
|
|
Object Detection (SP)
|
98% |
1291
102.7 IPS |
|
|
Object Detection (HP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (Q)
|
83% |
1816
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (Q)
|
95% |
3382
40.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2494
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2533
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4128
37.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6120
7.94 IPS |
|
|
Style Transfer (HP)
|
89% |
6121
7.95 IPS |
|
|
Style Transfer (Q)
|
98% |
11180
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2834
105.0 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.1 IPS |
|
|
Text Classification (HP)
|
99% |
544
726.3 IPS |
|
|
Text Classification (Q)
|
88% |
932
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
558
19.8 IPS |
