OnePlus CPH2585
Geekbench ML Score
960
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 15 2024 03:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2585 |
| Model ID | OnePlus CPH2585 |
| Motherboard | kalama |
| Governor | uag |
| 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
404
75.7 IPS |
|
|
Image Classification (F16)
|
100% |
459
85.8 IPS |
|
|
Image Classification (I8)
|
97% |
792
148.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
563
9.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
9.94 IPS |
|
|
Image Segmentation (I8)
|
98% |
702
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1114
1.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
1123
1.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
4602
5.57 IPS |
|
|
Object Detection (F32)
|
100% |
522
39.0 IPS |
|
|
Object Detection (F16)
|
100% |
520
38.8 IPS |
|
|
Object Detection (I8)
|
61% |
1122
83.8 IPS |
|
|
Face Detection (F32)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (I8)
|
86% |
1947
23.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1094
8.48 IPS |
|
|
Depth Estimation (F16)
|
100% |
1042
8.08 IPS |
|
|
Depth Estimation (I8)
|
95% |
2034
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1977
2.60 IPS |
|
|
Style Transfer (F16)
|
100% |
1967
2.59 IPS |
|
|
Style Transfer (I8)
|
98% |
4085
5.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
717
25.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
715
25.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1673
59.7 IPS |
|
|
Text Classification (F32)
|
100% |
599
860.3 IPS |
|
|
Text Classification (F16)
|
100% |
586
842.8 IPS |
|
|
Text Classification (I8)
|
92% |
376
540.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1150
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1046
19.2 IPS |
|
|
Machine Translation (I8)
|
64% |
455
8.36 IPS |
