samsung SM-X406B
Geekbench AI Score
777
Single Precision Score
781
Half Precision Score
1564
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | December 31 2025 02:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X406B |
| Model ID | samsung SM-X406B |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (Q)
|
100% |
1018
189.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
421
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1602
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1674
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
3034
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
979
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
2679
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1314
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
2700
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3010
3.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3006
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6212
8.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1560
57.8 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.4 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.3 IPS |
|
|
Text Classification (Q)
|
88% |
732
987.5 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
