samsung SM-S918U
Geekbench ML Score
572
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | vadimpaj |
| Upload Date | June 21 2023 07:00 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918U |
| Model ID | samsung SM-S918U |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
592
63.4 IPS |
|
|
Image Classification (F16)
|
100% |
583
62.4 IPS |
|
|
Image Classification (I8)
|
81% |
222
23.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
921
5.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
909
5.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
1012
6.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
378
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
365
1.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
250
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
508
17.8 IPS |
|
|
Object Detection (F16)
|
100% |
504
17.7 IPS |
|
|
Object Detection (I8)
|
52% |
392
13.8 IPS |
|
|
Face Detection (F32)
|
100% |
854
9.81 IPS |
|
|
Face Detection (F16)
|
100% |
1048
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
679
7.80 IPS |
|
|
Text Classification (F32)
|
100% |
409
161.9 IPS |
|
|
Text Classification (F16)
|
100% |
373
147.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1102
169.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
168.9 IPS |
