samsung SM-X205
Geekbench ML Score
183
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 11:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-X205 |
| Model ID | samsung SM-X205 |
| Motherboard | ums512_25c10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM UNISOC |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
121
13.0 IPS |
|
|
Image Classification (F16)
|
100% |
120
12.9 IPS |
|
|
Image Classification (I8)
|
81% |
230
24.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
251
1.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
554
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
175
6.14 IPS |
|
|
Object Detection (F16)
|
100% |
175
6.13 IPS |
|
|
Object Detection (I8)
|
52% |
292
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
236
2.71 IPS |
|
|
Face Detection (F16)
|
100% |
239
2.74 IPS |
|
|
Face Detection (I8)
|
75% |
407
4.68 IPS |
|
|
Text Classification (F32)
|
100% |
152
60.3 IPS |
|
|
Text Classification (F16)
|
100% |
154
60.8 IPS |
|
|
Machine Translation (F32)
|
100% |
123
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
136
20.9 IPS |
