samsung SM-X406B
Geekbench AI Score
552
Single Precision Score
908
Half Precision Score
741
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | February 25 2026 06:18 PM |
| Views | 9 |
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% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
97% |
434
80.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2384
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4585
5.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
4445
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
452
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (Q)
|
96% |
1421
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2490
19.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1978
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3928
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
8144
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8130
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1159
43.0 IPS |
|
|
Text Classification (SP)
|
35% |
17
153.5 IPS |
|
|
Text Classification (HP)
|
29% |
14
246.1 IPS |
|
|
Text Classification (Q)
|
29% |
15
252.0 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.28 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.33 IPS |
|
|
Machine Translation (Q)
|
43% |
141
8.17 IPS |
