samsung SM-F966N
Geekbench ML Score
771
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 06:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-F966N |
| Model ID | samsung SM-F966N |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
555
59.5 IPS |
|
|
Image Classification (F16)
|
100% |
615
65.9 IPS |
|
|
Image Classification (I8)
|
81% |
917
98.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
5.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
770
4.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
1539
9.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
411
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
395
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
171
0.69 IPS |
|
|
Object Detection (F32)
|
100% |
469
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
527
18.5 IPS |
|
|
Object Detection (I8)
|
52% |
869
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
757
8.70 IPS |
|
|
Face Detection (F16)
|
100% |
778
8.94 IPS |
|
|
Face Detection (I8)
|
75% |
1207
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
1327
524.7 IPS |
|
|
Text Classification (F16)
|
100% |
1327
524.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1758
270.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1760
271.3 IPS |
