samsung SM-X406B
Geekbench AI Score
515
Single Precision Score
835
Half Precision Score
674
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 28 2025 04:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.6 IPS |
|
|
Image Classification (Q)
|
97% |
421
78.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4547
5.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
4351
5.10 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
99% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
414
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
96% |
1394
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1363
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2430
18.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1876
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3907
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
7968
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7610
9.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1132
42.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
107.5 IPS |
|
|
Text Classification (HP)
|
29% |
10
177.9 IPS |
|
|
Text Classification (Q)
|
29% |
11
184.5 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
43% |
110
6.37 IPS |
