Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
1452
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 15 2022 01:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998W |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
988
105.8 IPS |
|
|
Image Classification (F16)
|
100% |
1892
202.7 IPS |
|
|
Image Classification (I8)
|
79% |
3194
342.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2337
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3728
23.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
9147
56.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
569
2.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
2020
8.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
22753
92.1 IPS |
|
|
Object Detection (F32)
|
100% |
846
29.7 IPS |
|
|
Object Detection (F16)
|
100% |
1119
39.3 IPS |
|
|
Object Detection (I8)
|
56% |
1541
54.1 IPS |
|
|
Face Detection (F32)
|
100% |
1637
18.8 IPS |
|
|
Face Detection (F16)
|
97% |
2677
30.8 IPS |
|
|
Face Detection (I8)
|
76% |
16375
188.1 IPS |
|
|
Text Classification (F32)
|
100% |
12
4.62 IPS |
|
|
Text Classification (F16)
|
100% |
272
107.5 IPS |
|
|
Machine Translation (F32)
|
100% |
533
82.1 IPS |
|
|
Machine Translation (F16)
|
100% |
528
81.3 IPS |
