Samsung Galaxy Tab S9
Geekbench AI Score
282
Single Precision Score
16261
Half Precision Score
36619
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 12 2025 11:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12548
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32341
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
7604
123.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21159
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
74200
86.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
293643
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11962
948.9 IPS |
|
|
Object Detection (Q)
|
86% |
13465
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
24125
286.7 IPS |
|
|
Face Detection (Q)
|
97% |
82690
986.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
44764
344.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
81188
760.2 IPS |
|
|
Style Transfer (SP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60878
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293928
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32687
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82236
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.5 IPS |
|
|
Text Classification (HP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (HP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1750
45.9 IPS |
