samsung SM-G990E
Geekbench ML Score
341
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 06:58 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
336
36.0 IPS |
|
|
Image Classification (F16)
|
100% |
320
34.3 IPS |
|
|
Image Classification (I8)
|
81% |
155
16.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
498
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
530
3.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
769
4.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
188
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
282
9.90 IPS |
|
|
Object Detection (F16)
|
100% |
267
9.38 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.68 IPS |
|
|
Face Detection (F32)
|
100% |
477
5.48 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.46 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
291
115.1 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.9 IPS |
|
|
Machine Translation (F32)
|
100% |
493
75.9 IPS |
|
|
Machine Translation (F16)
|
100% |
493
76.0 IPS |
