samsung SM-N981U
Geekbench ML Score
1364
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 11 2024 01:42 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1005
107.7 IPS |
|
|
Image Classification (F16)
|
100% |
1621
173.7 IPS |
|
|
Image Classification (I8)
|
80% |
1431
153.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2599
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4339
26.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
4030
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1297
5.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
2226
9.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
2215
8.96 IPS |
|
|
Object Detection (F32)
|
100% |
544
19.1 IPS |
|
|
Object Detection (F16)
|
99% |
757
26.6 IPS |
|
|
Object Detection (I8)
|
53% |
825
29.0 IPS |
|
|
Face Detection (F32)
|
100% |
1860
21.4 IPS |
|
|
Face Detection (F16)
|
97% |
3222
37.0 IPS |
|
|
Face Detection (I8)
|
76% |
2961
34.0 IPS |
|
|
Text Classification (F32)
|
100% |
501
198.3 IPS |
|
|
Text Classification (F16)
|
98% |
544
215.3 IPS |
|
|
Machine Translation (F32)
|
100% |
576
88.8 IPS |
|
|
Machine Translation (F16)
|
100% |
576
88.7 IPS |
