samsung SM-X610 - Samsung Galaxy Tab S9 FE+ - Jordan Personal Tablet samsung SM-X610
Geekbench AI Score
539
Single Precision Score
922
Half Precision Score
708
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Benjamin_Personal |
| Upload Date | April 14 2026 09:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X610 |
| Model ID | samsung SM-X610 |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
97% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
4365
5.12 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
99% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
1797
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1377
10.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2422
18.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1901
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3908
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
8188
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7977
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1149
42.6 IPS |
|
|
Text Classification (SP)
|
35% |
13
117.9 IPS |
|
|
Text Classification (HP)
|
35% |
20
178.4 IPS |
|
|
Text Classification (Q)
|
29% |
12
204.0 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.96 IPS |
