samsung SM-F711B
Geekbench ML Score
1102
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 12 2025 08:14 PM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1022
109.5 IPS |
|
|
Image Classification (F16)
|
100% |
1424
152.6 IPS |
|
|
Image Classification (I8)
|
80% |
1266
135.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2390
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3851
23.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
3563
22.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
945
3.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
1786
7.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
1655
6.69 IPS |
|
|
Object Detection (F32)
|
100% |
342
12.0 IPS |
|
|
Object Detection (F16)
|
99% |
451
15.8 IPS |
|
|
Object Detection (I8)
|
53% |
449
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
1428
16.4 IPS |
|
|
Face Detection (F16)
|
97% |
2598
29.8 IPS |
|
|
Face Detection (I8)
|
75% |
2293
26.3 IPS |
|
|
Text Classification (F32)
|
100% |
485
191.7 IPS |
|
|
Text Classification (F16)
|
98% |
600
237.4 IPS |
|
|
Machine Translation (F32)
|
100% |
468
72.2 IPS |
|
|
Machine Translation (F16)
|
100% |
469
72.3 IPS |
