samsung SM-G990E
Geekbench ML Score
857
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 08:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G990E |
| Model ID | samsung SM-G990E |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
576
61.7 IPS |
|
|
Image Classification (F16)
|
100% |
1120
120.0 IPS |
|
|
Image Classification (I8)
|
80% |
962
103.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1265
7.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
2501
15.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
2510
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
443
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
1370
5.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
1388
5.61 IPS |
|
|
Object Detection (F32)
|
100% |
336
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
485
17.0 IPS |
|
|
Object Detection (I8)
|
54% |
492
17.3 IPS |
|
|
Face Detection (F32)
|
100% |
1042
12.0 IPS |
|
|
Face Detection (F16)
|
97% |
2127
24.4 IPS |
|
|
Face Detection (I8)
|
75% |
1849
21.2 IPS |
|
|
Text Classification (F32)
|
100% |
478
189.0 IPS |
|
|
Text Classification (F16)
|
98% |
685
271.1 IPS |
|
|
Machine Translation (F32)
|
100% |
349
53.8 IPS |
|
|
Machine Translation (F16)
|
100% |
348
53.6 IPS |
