Samsung Galaxy S20 Ultra
Geekbench ML Score
523
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | 7865 |
| Upload Date | September 04 2024 04:45 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra |
| Model ID | samsung SM-G988B |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.65 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
281
52.5 IPS |
|
|
Image Classification (F16)
|
100% |
262
49.1 IPS |
|
|
Image Classification (I8)
|
97% |
536
100.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
5.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
351
5.86 IPS |
|
|
Image Segmentation (I8)
|
98% |
480
8.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
669
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
650
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
3144
3.81 IPS |
|
|
Object Detection (F32)
|
100% |
233
17.4 IPS |
|
|
Object Detection (F16)
|
100% |
252
18.8 IPS |
|
|
Object Detection (I8)
|
61% |
452
33.7 IPS |
|
|
Face Detection (F32)
|
100% |
538
6.39 IPS |
|
|
Face Detection (F16)
|
100% |
504
5.99 IPS |
|
|
Face Detection (I8)
|
86% |
565
6.71 IPS |
|
|
Depth Estimation (F32)
|
100% |
491
3.81 IPS |
|
|
Depth Estimation (F16)
|
100% |
519
4.02 IPS |
|
|
Depth Estimation (I8)
|
95% |
851
6.60 IPS |
|
|
Style Transfer (F32)
|
100% |
1153
1.52 IPS |
|
|
Style Transfer (F16)
|
100% |
1156
1.52 IPS |
|
|
Style Transfer (I8)
|
98% |
2624
3.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
429
15.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1266
45.2 IPS |
|
|
Text Classification (F32)
|
100% |
347
498.2 IPS |
|
|
Text Classification (F16)
|
100% |
340
488.4 IPS |
|
|
Text Classification (I8)
|
92% |
314
451.2 IPS |
|
|
Machine Translation (F32)
|
100% |
581
10.7 IPS |
|
|
Machine Translation (F16)
|
100% |
607
11.2 IPS |
|
|
Machine Translation (I8)
|
64% |
134
2.47 IPS |
