samsung SM-F711B
Geekbench ML Score
438
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 07 2026 01:11 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
469
50.2 IPS |
|
|
Image Classification (F16)
|
100% |
432
46.3 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
713
4.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
718
4.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
924
5.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
298
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
295
1.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
257
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
370
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
348
12.2 IPS |
|
|
Object Detection (I8)
|
52% |
278
9.74 IPS |
|
|
Face Detection (F32)
|
100% |
600
6.89 IPS |
|
|
Face Detection (F16)
|
100% |
617
7.09 IPS |
|
|
Face Detection (I8)
|
75% |
546
6.27 IPS |
|
|
Text Classification (F32)
|
100% |
335
132.3 IPS |
|
|
Text Classification (F16)
|
100% |
336
132.9 IPS |
|
|
Machine Translation (F32)
|
100% |
650
100.2 IPS |
|
|
Machine Translation (F16)
|
100% |
649
100.0 IPS |
