samsung SM-S918W
Geekbench ML Score
618
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 04 2023 09:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S918W |
| Model ID | samsung SM-S918W |
| 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% |
605
64.8 IPS |
|
|
Image Classification (F16)
|
100% |
610
65.4 IPS |
|
|
Image Classification (I8)
|
81% |
216
23.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
993
6.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
990
6.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1087
6.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
418
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
300
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
639
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
643
22.6 IPS |
|
|
Object Detection (I8)
|
52% |
396
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
1088
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1078
12.4 IPS |
|
|
Face Detection (I8)
|
75% |
688
7.90 IPS |
|
|
Text Classification (F32)
|
100% |
409
161.6 IPS |
|
|
Text Classification (F16)
|
100% |
376
148.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1121
172.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1089
167.9 IPS |
