samsung SM-G990E
Geekbench ML Score
355
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2022 06:33 AM |
| 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% |
450
48.2 IPS |
|
|
Image Classification (F16)
|
100% |
391
41.9 IPS |
|
|
Image Classification (I8)
|
81% |
172
18.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
3.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
808
4.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
224
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
185
0.75 IPS |
|
|
Object Detection (F32)
|
100% |
296
10.4 IPS |
|
|
Object Detection (F16)
|
100% |
257
9.02 IPS |
|
|
Object Detection (I8)
|
52% |
239
8.40 IPS |
|
|
Face Detection (F32)
|
100% |
437
5.02 IPS |
|
|
Face Detection (F16)
|
100% |
415
4.76 IPS |
|
|
Face Detection (I8)
|
75% |
475
5.46 IPS |
|
|
Text Classification (F32)
|
100% |
289
114.3 IPS |
|
|
Text Classification (F16)
|
100% |
288
114.1 IPS |
|
|
Machine Translation (F32)
|
100% |
497
76.6 IPS |
|
|
Machine Translation (F16)
|
100% |
496
76.5 IPS |
