Samsung Galaxy Tab S9
Geekbench AI Score
848
Single Precision Score
1178
Half Precision Score
1060
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 01:11 PM |
| Views | 1 |
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-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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (Q)
|
96% |
883
164.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1073
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1434
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (Q)
|
87% |
847
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
2277
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
1700
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1501
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2885
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2382
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3871
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
8703
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8623
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.0 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.4 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.2 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.03 IPS |
