Samsung Galaxy Tab S9
Geekbench AI Score
280
Single Precision Score
16079
Half Precision Score
36468
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | angelpradomx |
| Upload Date | June 01 2025 03:47 AM |
| Views | 5 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
12451
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32300
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
7466
121.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20989
341.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72757
84.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
293916
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11853
940.2 IPS |
|
|
Object Detection (Q)
|
86% |
13350
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
23809
282.9 IPS |
|
|
Face Detection (Q)
|
97% |
81981
977.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
44737
344.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
81072
759.1 IPS |
|
|
Style Transfer (SP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60939
78.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294037
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32719
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82289
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
222
295.7 IPS |
|
|
Text Classification (HP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1742
45.6 IPS |
