Samsung Galaxy Tab S9
Geekbench AI Score
512
Single Precision Score
16820
Half Precision Score
37741
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 11:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S9 |
| Model ID | samsung SM-X716B |
| 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 | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
13428
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
32271
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
7978
129.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22109
359.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
74374
86.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
296406
346.9 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
12412
984.5 IPS |
|
|
Object Detection (Q)
|
86% |
14132
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (HP)
|
100% |
25861
307.3 IPS |
|
|
Face Detection (Q)
|
97% |
91079
1.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
45389
349.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
83036
777.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1056
1.36 IPS |
|
|
Style Transfer (HP)
|
98% |
60135
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
294711
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32780
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82230
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
445
593.6 IPS |
|
|
Text Classification (HP)
|
100% |
2540
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (Q)
|
55% |
1892
49.6 IPS |
