samsung SM-X610 - Samsung Galaxy Tab S9 FE+ - Jordan Personal Tablet samsung SM-X610
Geekbench AI Score
815
Single Precision Score
1461
Half Precision Score
1841
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Benjamin_Personal |
| Upload Date | April 14 2026 09:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
390
72.6 IPS |
|
|
Image Classification (HP)
|
100% |
865
160.9 IPS |
|
|
Image Classification (Q)
|
99% |
1351
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
92% |
3607
4.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
3355
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
97% |
771
61.3 IPS |
|
|
Object Detection (Q)
|
85% |
1171
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
2986
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1393
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2657
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2975
27.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3127
4.06 IPS |
|
|
Style Transfer (HP)
|
88% |
4093
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
7331
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1490
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
419
558.8 IPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
93% |
846
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
96% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
55% |
549
14.7 IPS |
