samsung SM-X910
Geekbench ML Score
601
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 11:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
594
63.7 IPS |
|
|
Image Classification (F16)
|
100% |
599
64.1 IPS |
|
|
Image Classification (I8)
|
81% |
231
24.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
944
5.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
926
5.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1082
6.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
384
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
296
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
599
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
618
21.7 IPS |
|
|
Object Detection (I8)
|
52% |
376
13.2 IPS |
|
|
Face Detection (F32)
|
100% |
1037
11.9 IPS |
|
|
Face Detection (F16)
|
100% |
1022
11.7 IPS |
|
|
Face Detection (I8)
|
75% |
682
7.83 IPS |
|
|
Text Classification (F32)
|
100% |
393
155.2 IPS |
|
|
Text Classification (F16)
|
100% |
393
155.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1064
164.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1079
166.2 IPS |
