samsung SM-S901W
Geekbench ML Score
401
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 10:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-S901W |
| Model ID | samsung SM-S901W |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
404
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
408
43.7 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
659
4.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
648
4.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
797
4.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
231
0.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
200
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
414
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
415
14.6 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.52 IPS |
|
|
Face Detection (F32)
|
100% |
571
6.56 IPS |
|
|
Face Detection (F16)
|
100% |
539
6.19 IPS |
|
|
Face Detection (I8)
|
75% |
425
4.89 IPS |
|
|
Text Classification (F32)
|
100% |
306
121.2 IPS |
|
|
Text Classification (F16)
|
100% |
302
119.4 IPS |
|
|
Machine Translation (F32)
|
100% |
662
102.0 IPS |
|
|
Machine Translation (F16)
|
100% |
661
101.9 IPS |
