Samsung Galaxy Z Fold2 5G
Geekbench ML Score
400
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 11 2021 12:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy Z Fold2 5G |
| Model ID | samsung SM-F916B |
| 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 @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 10.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
398
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
361
38.7 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
596
3.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
589
3.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
887
5.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
255
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
257
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
382
13.4 IPS |
|
|
Object Detection (F16)
|
100% |
338
11.8 IPS |
|
|
Object Detection (I8)
|
52% |
279
9.78 IPS |
|
|
Face Detection (F32)
|
100% |
534
6.13 IPS |
|
|
Face Detection (F16)
|
100% |
615
7.06 IPS |
|
|
Face Detection (I8)
|
75% |
525
6.03 IPS |
|
|
Text Classification (F32)
|
100% |
353
139.5 IPS |
|
|
Text Classification (F16)
|
100% |
342
135.2 IPS |
|
|
Machine Translation (F32)
|
100% |
533
82.2 IPS |
|
|
Machine Translation (F16)
|
100% |
531
81.9 IPS |
