Samsung Galaxy S20 Ultra 5G
Geekbench ML Score
355
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 02:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra 5G |
| Model ID | samsung SM-G988U |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
185
34.7 IPS |
|
|
Image Classification (F16)
|
100% |
117
21.9 IPS |
|
|
Image Classification (I8)
|
97% |
546
102.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
277
4.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
260
4.33 IPS |
|
|
Image Segmentation (I8)
|
98% |
435
7.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
557
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
528
0.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
2056
2.49 IPS |
|
|
Object Detection (F32)
|
100% |
137
10.2 IPS |
|
|
Object Detection (F16)
|
100% |
271
20.2 IPS |
|
|
Object Detection (I8)
|
61% |
198
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
388
4.62 IPS |
|
|
Face Detection (F16)
|
100% |
391
4.65 IPS |
|
|
Face Detection (I8)
|
86% |
948
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
368
2.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
390
3.02 IPS |
|
|
Depth Estimation (I8)
|
95% |
691
5.36 IPS |
|
|
Style Transfer (F32)
|
100% |
919
1.21 IPS |
|
|
Style Transfer (F16)
|
100% |
916
1.20 IPS |
|
|
Style Transfer (I8)
|
98% |
2643
3.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
175
6.27 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
181
6.48 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
726
25.9 IPS |
|
|
Text Classification (F32)
|
100% |
263
377.5 IPS |
|
|
Text Classification (F16)
|
100% |
217
311.3 IPS |
|
|
Text Classification (I8)
|
92% |
29
41.0 IPS |
|
|
Machine Translation (F32)
|
100% |
570
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
400
7.35 IPS |
|
|
Machine Translation (I8)
|
64% |
77
1.41 IPS |
