Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
654
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 19 2022 10:41 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998U |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 9.97 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
859
92.0 IPS |
|
|
Image Classification (F16)
|
100% |
1383
148.2 IPS |
|
|
Image Classification (I8)
|
79% |
3406
364.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2068
12.8 IPS |
|
|
Image Segmentation (F16)
|
71% |
2825
17.4 IPS |
|
|
Image Segmentation (I8)
|
69% |
3407
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
500
2.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
1706
6.90 IPS |
|
|
Pose Estimation (I8)
|
53% |
16408
66.4 IPS |
|
|
Object Detection (F32)
|
100% |
607
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
495
17.4 IPS |
|
|
Object Detection (I8)
|
52% |
263
9.23 IPS |
|
|
Face Detection (F32)
|
100% |
383
4.40 IPS |
|
|
Face Detection (F16)
|
100% |
389
4.47 IPS |
|
|
Face Detection (I8)
|
75% |
6463
74.2 IPS |
|
|
Text Classification (F32)
|
100% |
3
1.13 IPS |
|
|
Text Classification (F16)
|
46% |
3
1.34 IPS |
|
|
Machine Translation (F32)
|
100% |
646
99.6 IPS |
|
|
Machine Translation (F16)
|
100% |
645
99.4 IPS |
