Samsung Galaxy Tab S9 Plus samsung SM-X810
Geekbench AI Score
499
Single Precision Score
500
Half Precision Score
1091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | April 01 2025 12:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X810 |
| Model ID | samsung SM-X810 |
| 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% |
312
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.9 IPS |
|
|
Image Classification (Q)
|
99% |
725
135.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
2084
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
87% |
817
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (Q)
|
97% |
1589
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1529
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1051
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2477
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.8 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.6 IPS |
|
|
Text Classification (Q)
|
91% |
645
866.9 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
547
13.4 IPS |
