samsung SM-S918U
Geekbench ML Score
612
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 04 2023 06:45 PM |
| Views | 2 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
522
55.9 IPS |
|
|
Image Classification (F16)
|
100% |
531
56.9 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
4.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
779
4.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
853
5.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
317
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
148
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
563
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
549
19.3 IPS |
|
|
Object Detection (I8)
|
52% |
529
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
750
8.62 IPS |
|
|
Face Detection (F16)
|
100% |
740
8.50 IPS |
|
|
Face Detection (I8)
|
75% |
645
7.42 IPS |
|
|
Text Classification (F32)
|
100% |
1200
474.5 IPS |
|
|
Text Classification (F16)
|
100% |
1203
475.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1048
161.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1049
161.6 IPS |
