Samsung Galaxy Tab S9 Plus samsung SM-X810
Geekbench AI Score
495
Single Precision Score
17031
Half Precision Score
38078
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | April 01 2025 12:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
317
58.9 IPS |
|
|
Image Classification (HP)
|
100% |
13454
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
32579
6.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
8032
130.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22195
360.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
73897
86.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
298488
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
12453
987.7 IPS |
|
|
Object Detection (Q)
|
86% |
14147
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
742
8.81 IPS |
|
|
Face Detection (HP)
|
100% |
26095
310.1 IPS |
|
|
Face Detection (Q)
|
97% |
92307
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
652
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
45807
352.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
83761
784.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1019
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
61212
78.9 IPS |
|
|
Style Transfer (Q)
|
98% |
297419
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34413
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
85515
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
404
538.9 IPS |
|
|
Text Classification (HP)
|
100% |
2596
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1886
49.4 IPS |
