Samsung Galaxy Tab S9
Geekbench AI Score
847
Single Precision Score
1080
Half Precision Score
1046
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 04:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
664
123.4 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
96% |
859
160.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1056
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1433
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (Q)
|
87% |
825
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
1683
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1517
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2884
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2378
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8691
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8617
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
354
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.5 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.96 IPS |
