samsung SM-S918U
Geekbench ML Score
2517
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 16 2023 05:17 AM |
| Views | 1 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1762
188.8 IPS |
|
|
Image Classification (F16)
|
100% |
2946
315.6 IPS |
|
|
Image Classification (I8)
|
80% |
2759
295.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
4950
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8942
55.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
9126
56.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2597
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
4829
19.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
4889
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
932
32.7 IPS |
|
|
Object Detection (F16)
|
99% |
1005
35.3 IPS |
|
|
Object Detection (I8)
|
53% |
1225
43.0 IPS |
|
|
Face Detection (F32)
|
100% |
4238
48.7 IPS |
|
|
Face Detection (F16)
|
97% |
6036
69.4 IPS |
|
|
Face Detection (I8)
|
75% |
4955
56.9 IPS |
|
|
Text Classification (F32)
|
100% |
768
303.9 IPS |
|
|
Text Classification (F16)
|
98% |
862
341.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1111
171.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1093
168.4 IPS |
