samsung SM-X406B
Geekbench AI Score
596
Single Precision Score
1077
Half Precision Score
799
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 27 2025 09:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.4 IPS |
|
|
Image Classification (Q)
|
97% |
602
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2446
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4947
5.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
4506
5.28 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
99% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
83% |
446
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (Q)
|
96% |
1418
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1383
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2490
19.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1984
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3884
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
8299
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7713
9.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1120
41.5 IPS |
|
|
Text Classification (SP)
|
35% |
22
195.8 IPS |
|
|
Text Classification (HP)
|
35% |
37
335.0 IPS |
|
|
Text Classification (Q)
|
32% |
22
288.6 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
43% |
139
8.09 IPS |
