samsung SM-F721B
Geekbench ML Score
569
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 02:35 PM |
| Views | 18 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
41.0 IPS |
|
|
Image Classification (F16)
|
100% |
383
41.0 IPS |
|
|
Image Classification (I8)
|
81% |
511
54.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
690
4.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
695
4.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
933
5.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
334
1.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
314
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
163
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
406
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
414
14.5 IPS |
|
|
Object Detection (I8)
|
52% |
557
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
555
6.37 IPS |
|
|
Face Detection (F16)
|
100% |
549
6.31 IPS |
|
|
Face Detection (I8)
|
75% |
695
7.99 IPS |
|
|
Text Classification (F32)
|
100% |
1296
512.7 IPS |
|
|
Text Classification (F16)
|
100% |
1304
515.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1091
168.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1090
168.0 IPS |
