samsung SM-F721B
Geekbench ML Score
2206
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 02:32 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F721B |
| Model ID | samsung SM-F721B |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1647
176.5 IPS |
|
|
Image Classification (F16)
|
100% |
2447
262.2 IPS |
|
|
Image Classification (I8)
|
80% |
2255
241.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4550
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7665
47.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
8244
50.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2151
8.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
4080
16.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
4056
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
608
21.3 IPS |
|
|
Object Detection (F16)
|
99% |
946
33.2 IPS |
|
|
Object Detection (I8)
|
53% |
903
31.7 IPS |
|
|
Face Detection (F32)
|
100% |
2879
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
5510
63.3 IPS |
|
|
Face Detection (I8)
|
75% |
4328
49.7 IPS |
|
|
Text Classification (F32)
|
100% |
914
361.5 IPS |
|
|
Text Classification (F16)
|
98% |
906
358.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1115
171.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1109
171.0 IPS |
