samsung SM-S918B
Geekbench ML Score
2590
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 10 2024 03:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S918B |
| Model ID | samsung SM-S918B |
| 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 | 10.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1840
197.1 IPS |
|
|
Image Classification (F16)
|
100% |
2716
291.0 IPS |
|
|
Image Classification (I8)
|
80% |
2961
317.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
5344
33.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
9598
59.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
8821
54.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2623
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
4864
19.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
4861
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
883
31.0 IPS |
|
|
Object Detection (F16)
|
99% |
1092
38.3 IPS |
|
|
Object Detection (I8)
|
53% |
1316
46.2 IPS |
|
|
Face Detection (F32)
|
100% |
3909
44.9 IPS |
|
|
Face Detection (F16)
|
97% |
6611
76.0 IPS |
|
|
Face Detection (I8)
|
75% |
5383
61.8 IPS |
|
|
Text Classification (F32)
|
100% |
730
288.8 IPS |
|
|
Text Classification (F16)
|
98% |
962
380.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1176
181.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1183
182.4 IPS |
