samsung SM-X910
Geekbench ML Score
1039
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 15 2024 09:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
398
74.6 IPS |
|
|
Image Classification (F16)
|
100% |
518
96.9 IPS |
|
|
Image Classification (I8)
|
97% |
881
164.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
667
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
790
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1246
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
1226
1.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
4943
5.99 IPS |
|
|
Object Detection (F32)
|
100% |
548
40.9 IPS |
|
|
Object Detection (F16)
|
100% |
545
40.7 IPS |
|
|
Object Detection (I8)
|
61% |
1130
84.4 IPS |
|
|
Face Detection (F32)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (I8)
|
86% |
1912
22.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1214
9.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
1208
9.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
2234
17.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2208
2.90 IPS |
|
|
Style Transfer (F16)
|
100% |
2305
3.03 IPS |
|
|
Style Transfer (I8)
|
98% |
4526
5.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
773
27.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
791
28.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2046
73.1 IPS |
|
|
Text Classification (F32)
|
100% |
603
866.0 IPS |
|
|
Text Classification (F16)
|
100% |
609
875.4 IPS |
|
|
Text Classification (I8)
|
92% |
471
676.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1132
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1102
20.3 IPS |
|
|
Machine Translation (I8)
|
64% |
429
7.90 IPS |
