Samsung Galaxy Tab S9
Geekbench AI Score
282
Single Precision Score
16246
Half Precision Score
36638
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 11:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
12580
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
32291
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
7639
123.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21071
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
73580
85.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
293349
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11932
946.4 IPS |
|
|
Object Detection (Q)
|
86% |
13495
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
24224
287.8 IPS |
|
|
Face Detection (Q)
|
97% |
82784
987.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
44644
344.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
81459
762.8 IPS |
|
|
Style Transfer (SP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (HP)
|
98% |
60908
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293985
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32678
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82329
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.6 IPS |
|
|
Text Classification (HP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1761
46.1 IPS |
