samsung SCG06
Geekbench ML Score
398
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 29 2021 01:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SCG06 |
| Model ID | samsung SCG06 |
| 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 | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
354
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
354
38.0 IPS |
|
|
Image Classification (I8)
|
81% |
196
21.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
576
3.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
590
3.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
874
5.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
386
13.6 IPS |
|
|
Object Detection (F16)
|
100% |
321
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
292
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
551
6.33 IPS |
|
|
Face Detection (F16)
|
100% |
551
6.33 IPS |
|
|
Face Detection (I8)
|
75% |
529
6.08 IPS |
|
|
Text Classification (F32)
|
100% |
342
135.4 IPS |
|
|
Text Classification (F16)
|
100% |
346
136.7 IPS |
|
|
Machine Translation (F32)
|
100% |
575
88.7 IPS |
|
|
Machine Translation (F16)
|
100% |
573
88.3 IPS |
