Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
377
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 1 |
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 | 10.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
326
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
266
28.5 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
527
3.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
702
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
295
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
300
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
204
0.83 IPS |
|
|
Object Detection (F32)
|
100% |
362
12.7 IPS |
|
|
Object Detection (F16)
|
100% |
350
12.3 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.70 IPS |
|
|
Face Detection (F32)
|
100% |
551
6.33 IPS |
|
|
Face Detection (F16)
|
100% |
575
6.61 IPS |
|
|
Face Detection (I8)
|
75% |
431
4.95 IPS |
|
|
Text Classification (F32)
|
100% |
320
126.7 IPS |
|
|
Text Classification (F16)
|
100% |
319
126.0 IPS |
|
|
Machine Translation (F32)
|
100% |
571
87.9 IPS |
|
|
Machine Translation (F16)
|
100% |
566
87.2 IPS |
