samsung SM-S918U
Geekbench ML Score
600
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 25 2023 06:32 AM |
| Views | 5 |
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 | 10.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
582
62.4 IPS |
|
|
Image Classification (F16)
|
100% |
584
62.6 IPS |
|
|
Image Classification (I8)
|
81% |
217
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
954
5.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
963
5.95 IPS |
|
|
Image Segmentation (I8)
|
89% |
1082
6.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
373
1.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
293
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
638
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
635
22.3 IPS |
|
|
Object Detection (I8)
|
52% |
381
13.4 IPS |
|
|
Face Detection (F32)
|
100% |
1016
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1050
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
685
7.86 IPS |
|
|
Text Classification (F32)
|
100% |
386
152.6 IPS |
|
|
Text Classification (F16)
|
100% |
374
147.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1098
169.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1071
165.1 IPS |
