samsung SM-N950F
Geekbench ML Score
157
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 04:20 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | samsung SM-N950F |
| Model ID | samsung SM-N950F |
| Motherboard | universal7420 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3335 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
133
14.2 IPS |
|
|
Image Classification (F16)
|
100% |
130
13.9 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
227
1.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
484
2.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
169
5.92 IPS |
|
|
Object Detection (F16)
|
100% |
169
5.92 IPS |
|
|
Object Detection (I8)
|
52% |
199
7.00 IPS |
|
|
Face Detection (F32)
|
100% |
223
2.57 IPS |
|
|
Face Detection (F16)
|
100% |
221
2.54 IPS |
|
|
Face Detection (I8)
|
75% |
317
3.65 IPS |
|
|
Text Classification (F32)
|
100% |
146
57.7 IPS |
|
|
Text Classification (F16)
|
100% |
146
57.8 IPS |
|
|
Machine Translation (F32)
|
100% |
72
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
72
11.1 IPS |
