samsung SM-N960F
Geekbench ML Score
385
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 01 2023 03:05 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
464
49.7 IPS |
|
|
Image Classification (F16)
|
100% |
457
48.9 IPS |
|
|
Image Classification (I8)
|
80% |
567
60.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
328
2.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1057
6.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
429
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
237
8.33 IPS |
|
|
Object Detection (F16)
|
100% |
230
8.09 IPS |
|
|
Object Detection (I8)
|
53% |
243
8.54 IPS |
|
|
Face Detection (F32)
|
100% |
562
6.45 IPS |
|
|
Face Detection (F16)
|
100% |
555
6.38 IPS |
|
|
Face Detection (I8)
|
75% |
931
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
149
59.1 IPS |
|
|
Text Classification (F16)
|
100% |
163
64.6 IPS |
|
|
Machine Translation (F32)
|
100% |
435
67.0 IPS |
|
|
Machine Translation (F16)
|
100% |
430
66.3 IPS |
