Samsung Galaxy S20 5G
Geekbench ML Score
429
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2022 03:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S20 5G |
| Model ID | samsung SM-G981N |
| 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
446
47.8 IPS |
|
|
Image Classification (F16)
|
100% |
451
48.3 IPS |
|
|
Image Classification (I8)
|
81% |
206
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
3.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
639
3.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
867
5.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
250
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
245
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
401
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
394
13.8 IPS |
|
|
Object Detection (I8)
|
52% |
299
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
606
6.96 IPS |
|
|
Face Detection (F16)
|
100% |
597
6.86 IPS |
|
|
Face Detection (I8)
|
75% |
539
6.19 IPS |
|
|
Text Classification (F32)
|
100% |
399
157.9 IPS |
|
|
Text Classification (F16)
|
100% |
400
158.0 IPS |
|
|
Machine Translation (F32)
|
100% |
554
85.4 IPS |
|
|
Machine Translation (F16)
|
100% |
553
85.2 IPS |
