samsung SM-F711B
Geekbench ML Score
1636
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | February 05 2026 07:32 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1010
108.2 IPS |
|
|
Image Classification (F16)
|
100% |
1954
209.3 IPS |
|
|
Image Classification (I8)
|
79% |
4907
525.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2406
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4035
24.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
9128
56.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
434
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
2063
8.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
24603
99.6 IPS |
|
|
Object Detection (F32)
|
100% |
910
31.9 IPS |
|
|
Object Detection (F16)
|
100% |
1214
42.6 IPS |
|
|
Object Detection (I8)
|
56% |
1755
61.6 IPS |
|
|
Face Detection (F32)
|
100% |
1727
19.8 IPS |
|
|
Face Detection (F16)
|
97% |
2747
31.6 IPS |
|
|
Face Detection (I8)
|
76% |
23158
266.1 IPS |
|
|
Text Classification (F32)
|
100% |
17
6.69 IPS |
|
|
Text Classification (F16)
|
100% |
295
116.7 IPS |
|
|
Machine Translation (F32)
|
100% |
752
115.9 IPS |
|
|
Machine Translation (F16)
|
100% |
767
118.3 IPS |
