Samsung Galaxy Tab S9
Geekbench AI Score
1955
Single Precision Score
1948
Half Precision Score
2928
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SExynos024 |
| Upload Date | February 02 2025 01:29 PM |
| Views | 10 |
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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1820
338.4 IPS |
|
|
Image Classification (HP)
|
100% |
1738
323.1 IPS |
|
|
Image Classification (Q)
|
100% |
2827
525.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3248
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2589
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2726
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
6013
7.13 IPS |
|
|
Object Detection (SP)
|
98% |
1409
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1411
112.2 IPS |
|
|
Object Detection (Q)
|
83% |
2205
178.1 IPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4323
51.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2753
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2771
21.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3896
35.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6414
8.33 IPS |
|
|
Style Transfer (HP)
|
89% |
6445
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
12118
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3075
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.4 IPS |
|
|
Text Classification (HP)
|
99% |
575
767.7 IPS |
|
|
Text Classification (Q)
|
88% |
966
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
629
22.3 IPS |
