samsung SM-X700
Geekbench ML Score
3045
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-X700 |
| Model ID | samsung SM-X700 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1317
141.1 IPS |
|
|
Image Classification (F16)
|
100% |
9208
986.6 IPS |
|
|
Image Classification (I8)
|
80% |
22044
2.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2840
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7878
48.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
39239
242.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
610
2.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
10817
43.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
55110
223.0 IPS |
|
|
Object Detection (F32)
|
100% |
1000
35.1 IPS |
|
|
Object Detection (F16)
|
100% |
1757
61.6 IPS |
|
|
Object Detection (I8)
|
53% |
1974
69.3 IPS |
|
|
Face Detection (F32)
|
100% |
1980
22.7 IPS |
|
|
Face Detection (F16)
|
97% |
6863
78.8 IPS |
|
|
Face Detection (I8)
|
76% |
46695
536.5 IPS |
|
|
Text Classification (F32)
|
100% |
14
5.65 IPS |
|
|
Text Classification (F16)
|
100% |
697
275.5 IPS |
|
|
Machine Translation (F32)
|
100% |
921
141.9 IPS |
|
|
Machine Translation (F16)
|
100% |
918
141.5 IPS |
