Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
1502
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | ZeroMaximusCool2010 |
| Upload Date | November 24 2022 06:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998U |
| 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 | 13.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
568
60.8 IPS |
|
|
Image Classification (F16)
|
100% |
1171
125.5 IPS |
|
|
Image Classification (I8)
|
79% |
4226
452.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1620
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3012
18.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
8632
53.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
581
2.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
2061
8.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
25127
101.7 IPS |
|
|
Object Detection (F32)
|
100% |
916
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
1230
43.2 IPS |
|
|
Object Detection (I8)
|
56% |
1793
62.9 IPS |
|
|
Face Detection (F32)
|
100% |
1733
19.9 IPS |
|
|
Face Detection (F16)
|
97% |
2771
31.8 IPS |
|
|
Face Detection (I8)
|
76% |
22872
262.8 IPS |
|
|
Text Classification (F32)
|
100% |
16
6.48 IPS |
|
|
Text Classification (F16)
|
100% |
332
131.4 IPS |
|
|
Machine Translation (F32)
|
100% |
729
112.3 IPS |
|
|
Machine Translation (F16)
|
100% |
743
114.5 IPS |
