samsung SM-X406B
Geekbench AI Score
748
Single Precision Score
1310
Half Precision Score
1607
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | February 25 2026 06:12 PM |
| Views | 10 |
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% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
887
164.9 IPS |
|
|
Image Classification (Q)
|
99% |
1341
250.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1336
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1691
1.97 IPS |
|
|
Pose Estimation (HP)
|
92% |
3341
3.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
2860
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.9 IPS |
|
|
Object Detection (HP)
|
97% |
738
58.8 IPS |
|
|
Object Detection (Q)
|
85% |
971
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
2807
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1284
9.89 IPS |
|
|
Depth Estimation (HP)
|
98% |
2243
17.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2408
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2668
3.46 IPS |
|
|
Style Transfer (HP)
|
88% |
3877
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6159
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1421
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1507
55.9 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.2 IPS |
|
|
Text Classification (HP)
|
100% |
571
762.5 IPS |
|
|
Text Classification (Q)
|
93% |
787
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
595
10.3 IPS |
|
|
Machine Translation (HP)
|
96% |
639
11.1 IPS |
|
|
Machine Translation (Q)
|
55% |
468
12.6 IPS |
