samsung SM-X610
Geekbench AI Score
743
Single Precision Score
728
Half Precision Score
1575
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 04:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
100% |
1100
204.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1474
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1663
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1664
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
3116
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
83% |
1023
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
2502
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1187
9.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1195
9.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
2689
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2941
3.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2873
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
6521
8.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1603
59.4 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.3 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.3 IPS |
|
|
Text Classification (Q)
|
88% |
760
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
