samsung SM-F711B
Geekbench ML Score
1536
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 12 2025 08:22 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-F711B |
| Model ID | samsung SM-F711B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
988
105.9 IPS |
|
|
Image Classification (F16)
|
100% |
1841
197.2 IPS |
|
|
Image Classification (I8)
|
79% |
4504
482.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2341
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3795
23.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
10587
65.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
580
2.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
1739
7.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
25127
101.7 IPS |
|
|
Object Detection (F32)
|
100% |
793
27.8 IPS |
|
|
Object Detection (F16)
|
100% |
1093
38.4 IPS |
|
|
Object Detection (I8)
|
56% |
1587
55.7 IPS |
|
|
Face Detection (F32)
|
100% |
1546
17.8 IPS |
|
|
Face Detection (F16)
|
97% |
2611
30.0 IPS |
|
|
Face Detection (I8)
|
76% |
23529
270.3 IPS |
|
|
Text Classification (F32)
|
100% |
13
5.03 IPS |
|
|
Text Classification (F16)
|
100% |
267
105.6 IPS |
|
|
Machine Translation (F32)
|
100% |
624
96.2 IPS |
|
|
Machine Translation (F16)
|
100% |
632
97.3 IPS |
