samsung SM-X406B
Geekbench AI Score
538
Single Precision Score
932
Half Precision Score
726
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | December 31 2025 02:38 AM |
| Views | 7 |
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% |
321
59.7 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
97% |
427
79.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4536
5.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
4395
5.15 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
83% |
515
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
1402
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1422
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2438
18.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1889
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3908
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
8053
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7861
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1156
42.9 IPS |
|
|
Text Classification (SP)
|
35% |
14
126.2 IPS |
|
|
Text Classification (HP)
|
35% |
21
191.6 IPS |
|
|
Text Classification (Q)
|
29% |
11
181.8 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (Q)
|
43% |
139
8.10 IPS |
