samsung SM-F721B
Geekbench ML Score
510
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | December 01 2025 02:28 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
521
55.9 IPS |
|
|
Image Classification (F16)
|
100% |
523
56.0 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
812
5.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
796
4.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
899
5.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
327
1.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
314
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
256
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
509
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
525
18.4 IPS |
|
|
Object Detection (I8)
|
52% |
286
10.0 IPS |
|
|
Face Detection (F32)
|
100% |
767
8.82 IPS |
|
|
Face Detection (F16)
|
100% |
782
8.98 IPS |
|
|
Face Detection (I8)
|
75% |
544
6.25 IPS |
|
|
Text Classification (F32)
|
100% |
345
136.5 IPS |
|
|
Text Classification (F16)
|
100% |
349
138.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1105
170.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1093
168.4 IPS |
