samsung SM-S9380
Geekbench ML Score
520
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 30 2022 10:35 AM |
| Views | 218 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-S9380 |
| Model ID | samsung SM-S9380 |
| Motherboard | SM-S9380 |
| Governor | ondemand |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 15.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
506
54.2 IPS |
|
|
Image Classification (F16)
|
100% |
531
56.9 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
3.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
548
3.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
676
4.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
414
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
424
1.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
262
1.06 IPS |
|
|
Object Detection (F32)
|
100% |
697
24.5 IPS |
|
|
Object Detection (F16)
|
100% |
674
23.7 IPS |
|
|
Object Detection (I8)
|
52% |
316
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
826
9.50 IPS |
|
|
Face Detection (F16)
|
100% |
807
9.27 IPS |
|
|
Face Detection (I8)
|
75% |
445
5.12 IPS |
|
|
Text Classification (F32)
|
100% |
460
182.0 IPS |
|
|
Text Classification (F16)
|
100% |
445
175.9 IPS |
|
|
Machine Translation (F32)
|
100% |
974
150.1 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.5 IPS |
