samsung SM-F711B
Geekbench ML Score
1678
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 07 2026 01:13 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1311
140.5 IPS |
|
|
Image Classification (F16)
|
100% |
2049
219.6 IPS |
|
|
Image Classification (I8)
|
80% |
1853
198.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
3187
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5106
31.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
4995
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1531
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
2825
11.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
2797
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
626
22.0 IPS |
|
|
Object Detection (F16)
|
99% |
737
25.9 IPS |
|
|
Object Detection (I8)
|
53% |
777
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
2415
27.7 IPS |
|
|
Face Detection (F16)
|
97% |
4130
47.4 IPS |
|
|
Face Detection (I8)
|
75% |
3542
40.7 IPS |
|
|
Text Classification (F32)
|
100% |
787
311.2 IPS |
|
|
Text Classification (F16)
|
98% |
923
365.1 IPS |
|
|
Machine Translation (F32)
|
100% |
649
100.0 IPS |
|
|
Machine Translation (F16)
|
100% |
646
99.6 IPS |
