Samsung Galaxy Tab S9
Geekbench AI Score
1871
Single Precision Score
1834
Half Precision Score
2999
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cwebb15 |
| Upload Date | March 07 2025 10:50 AM |
| Views | 8 |
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-X716B |
| 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% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
1472
273.8 IPS |
|
|
Image Classification (Q)
|
100% |
2212
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2653
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2925
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
7329
8.69 IPS |
|
|
Object Detection (SP)
|
98% |
1409
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
1412
112.3 IPS |
|
|
Object Detection (Q)
|
83% |
1948
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
5153
61.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3267
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3179
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5361
49.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6157
7.99 IPS |
|
|
Style Transfer (HP)
|
89% |
5766
7.48 IPS |
|
|
Style Transfer (Q)
|
98% |
11240
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2861
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.9 IPS |
|
|
Text Classification (HP)
|
99% |
531
708.1 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
