samsung SM-X406B
Geekbench AI Score
539
Single Precision Score
858
Half Precision Score
737
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | December 02 2025 11:49 AM |
| Views | 3 |
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% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (Q)
|
97% |
385
71.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
986
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2384
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
4435
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
99% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
437
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
96% |
1846
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1566
12.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2609
20.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1959
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3905
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
7982
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8034
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1558
57.8 IPS |
|
|
Text Classification (SP)
|
35% |
15
135.7 IPS |
|
|
Text Classification (HP)
|
29% |
11
186.0 IPS |
|
|
Text Classification (Q)
|
29% |
11
187.4 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
43% |
130
7.58 IPS |
