Samsung Galaxy Tab S9
Geekbench AI Score
1094
Single Precision Score
916
Half Precision Score
1874
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 11:08 AM |
| Views | 1 |
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% |
1002
186.3 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
100% |
1282
238.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1715
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4292
5.09 IPS |
|
|
Object Detection (SP)
|
98% |
1007
80.1 IPS |
|
|
Object Detection (HP)
|
98% |
678
54.0 IPS |
|
|
Object Detection (Q)
|
83% |
1440
116.3 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2735
32.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1546
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1223
9.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
3460
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2559
3.32 IPS |
|
|
Style Transfer (HP)
|
89% |
3617
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
7466
9.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1513
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.4 IPS |
|
|
Text Classification (HP)
|
99% |
410
546.8 IPS |
|
|
Text Classification (Q)
|
88% |
707
953.6 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
521
18.5 IPS |
