samsung SM-N960F
Geekbench ML Score
271
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 01 2023 02:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-N960F |
| Model ID | samsung SM-N960F |
| Motherboard | exynos9810 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 2 revision 0 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 4 Cores @ 2.70 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
212
22.7 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
114
12.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
259
1.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
460
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
216
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
215
0.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
247
8.67 IPS |
|
|
Object Detection (F16)
|
100% |
251
8.81 IPS |
|
|
Object Detection (I8)
|
52% |
175
6.13 IPS |
|
|
Face Detection (F32)
|
100% |
440
5.05 IPS |
|
|
Face Detection (F16)
|
100% |
469
5.39 IPS |
|
|
Face Detection (I8)
|
75% |
302
3.47 IPS |
|
|
Text Classification (F32)
|
100% |
321
126.9 IPS |
|
|
Text Classification (F16)
|
100% |
316
125.2 IPS |
|
|
Machine Translation (F32)
|
100% |
426
65.7 IPS |
|
|
Machine Translation (F16)
|
100% |
428
66.0 IPS |
