samsung SM-X406B
Geekbench AI Score
881
Single Precision Score
857
Half Precision Score
1841
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 28 2025 03:55 AM |
| Views | 3 |
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% |
439
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
100% |
1380
256.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
1612
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1837
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
3462
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
83% |
1256
101.5 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
3034
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1501
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2839
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3178
4.13 IPS |
|
|
Style Transfer (HP)
|
89% |
3165
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
7702
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2002
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
486
649.1 IPS |
|
|
Text Classification (HP)
|
100% |
481
642.2 IPS |
|
|
Text Classification (Q)
|
88% |
888
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
393
13.9 IPS |
