Samsung Galaxy S20+ 5G
Geekbench ML Score
418
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 03:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U1 |
| 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% |
444
47.5 IPS |
|
|
Image Classification (F16)
|
100% |
439
47.0 IPS |
|
|
Image Classification (I8)
|
81% |
167
17.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
623
3.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
393
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
351
12.3 IPS |
|
|
Object Detection (I8)
|
52% |
305
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
573
6.58 IPS |
|
|
Face Detection (F16)
|
100% |
634
7.29 IPS |
|
|
Face Detection (I8)
|
75% |
537
6.17 IPS |
|
|
Text Classification (F32)
|
100% |
395
156.2 IPS |
|
|
Text Classification (F16)
|
100% |
393
155.2 IPS |
|
|
Machine Translation (F32)
|
100% |
569
87.6 IPS |
|
|
Machine Translation (F16)
|
100% |
567
87.4 IPS |
