samsung SM-N981U
Geekbench ML Score
697
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 11 2024 01:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-N981U |
| Model ID | samsung SM-N981U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
672
72.0 IPS |
|
|
Image Classification (F16)
|
100% |
1058
113.4 IPS |
|
|
Image Classification (I8)
|
80% |
1218
130.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
5.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
1145
7.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
2953
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
457
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
1675
6.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
5363
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
562
19.7 IPS |
|
|
Object Detection (F16)
|
100% |
669
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
1203
42.2 IPS |
|
|
Face Detection (F32)
|
100% |
949
10.9 IPS |
|
|
Face Detection (F16)
|
97% |
1156
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
4154
47.7 IPS |
|
|
Text Classification (F32)
|
54% |
12
4.73 IPS |
|
|
Text Classification (F16)
|
54% |
12
4.75 IPS |
|
|
Machine Translation (F32)
|
100% |
583
89.8 IPS |
|
|
Machine Translation (F16)
|
100% |
581
89.6 IPS |
