Samsung SM-P585N0
Geekbench ML Score
92
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 08:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung SM-P585N0 |
| Model ID | Samsung SM-P585N0 |
| Motherboard | exynos7870 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 8 Cores @ 1.69 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
57
6.14 IPS |
|
|
Image Classification (F16)
|
100% |
60
6.38 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
102
0.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
102
0.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
461
2.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
56
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
83
2.91 IPS |
|
|
Object Detection (F16)
|
100% |
85
2.99 IPS |
|
|
Object Detection (I8)
|
52% |
207
7.26 IPS |
|
|
Face Detection (F32)
|
100% |
119
1.37 IPS |
|
|
Face Detection (F16)
|
100% |
119
1.37 IPS |
|
|
Face Detection (I8)
|
75% |
408
4.69 IPS |
|
|
Text Classification (F32)
|
100% |
66
25.9 IPS |
|
|
Text Classification (F16)
|
100% |
66
25.9 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.91 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.93 IPS |
