Samsung Galaxy S10
Geekbench ML Score
707
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 10:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10 |
| Model ID | samsung SM-G973U1 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
691
74.0 IPS |
|
|
Image Classification (F16)
|
100% |
959
102.7 IPS |
|
|
Image Classification (I8)
|
80% |
2104
225.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
4.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
828
5.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
4720
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
865
3.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
3299
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
424
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
642
22.5 IPS |
|
|
Object Detection (I8)
|
52% |
988
34.7 IPS |
|
|
Face Detection (F32)
|
100% |
1057
12.1 IPS |
|
|
Face Detection (F16)
|
97% |
1331
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
3658
42.0 IPS |
|
|
Text Classification (F32)
|
54% |
35
14.0 IPS |
|
|
Text Classification (F16)
|
54% |
35
14.0 IPS |
|
|
Machine Translation (F32)
|
100% |
440
67.9 IPS |
|
|
Machine Translation (F16)
|
100% |
440
67.9 IPS |
