samsung SM-X810
Geekbench ML Score
1020
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 09:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X810 |
| Model ID | samsung SM-X810 |
| 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 | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
480
89.8 IPS |
|
|
Image Classification (F16)
|
100% |
507
94.8 IPS |
|
|
Image Classification (I8)
|
97% |
828
155.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
666
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
644
10.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
819
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1223
1.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
1179
1.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
5085
6.16 IPS |
|
|
Object Detection (F32)
|
100% |
541
40.4 IPS |
|
|
Object Detection (F16)
|
100% |
533
39.8 IPS |
|
|
Object Detection (I8)
|
61% |
1080
80.6 IPS |
|
|
Face Detection (F32)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (I8)
|
86% |
1842
21.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1164
9.03 IPS |
|
|
Depth Estimation (F16)
|
100% |
1151
8.92 IPS |
|
|
Depth Estimation (I8)
|
95% |
2108
16.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2163
2.85 IPS |
|
|
Style Transfer (F16)
|
100% |
2173
2.86 IPS |
|
|
Style Transfer (I8)
|
98% |
4464
5.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
800
28.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
797
28.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1454
51.9 IPS |
|
|
Text Classification (F32)
|
100% |
631
907.2 IPS |
|
|
Text Classification (F16)
|
100% |
594
854.2 IPS |
|
|
Text Classification (I8)
|
92% |
432
621.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1128
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (I8)
|
64% |
449
8.27 IPS |
