samsung SM-X406B
Geekbench AI Score
815
Single Precision Score
792
Half Precision Score
1601
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | December 02 2025 11:40 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% |
433
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
100% |
1374
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1176
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
3180
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
83% |
988
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
2590
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1339
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1316
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2758
25.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3050
3.96 IPS |
|
|
Style Transfer (HP)
|
89% |
3012
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6575
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
353
470.9 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.1 IPS |
|
|
Text Classification (Q)
|
88% |
844
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
