Samsung Galaxy Tab S9
Geekbench AI Score
647
Single Precision Score
612
Half Precision Score
1284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 07:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
249
46.3 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.4 IPS |
|
|
Image Classification (Q)
|
100% |
1193
221.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1247
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
2622
3.11 IPS |
|
|
Object Detection (SP)
|
98% |
332
26.4 IPS |
|
|
Object Detection (HP)
|
98% |
356
28.4 IPS |
|
|
Object Detection (Q)
|
83% |
817
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.39 IPS |
|
|
Face Detection (Q)
|
95% |
1763
21.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1092
8.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
933
7.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
2230
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2169
2.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2109
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
5424
6.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1068
39.6 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.8 IPS |
|
|
Text Classification (HP)
|
99% |
290
387.4 IPS |
|
|
Text Classification (Q)
|
88% |
551
743.8 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
