OnePlus CPH2655
Geekbench ML Score
1652
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 18 2024 04:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2655 |
| Model ID | OnePlus CPH2655 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
908
169.9 IPS |
|
|
Image Classification (F16)
|
100% |
1064
199.1 IPS |
|
|
Image Classification (I8)
|
97% |
1407
263.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1404
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1489
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1853
2.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1840
2.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
8387
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (F16)
|
100% |
1071
80.0 IPS |
|
|
Object Detection (I8)
|
61% |
2244
167.5 IPS |
|
|
Face Detection (F32)
|
100% |
2150
25.6 IPS |
|
|
Face Detection (F16)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (I8)
|
86% |
4021
47.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1954
15.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1999
15.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4338
33.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3129
4.12 IPS |
|
|
Style Transfer (F16)
|
100% |
3117
4.10 IPS |
|
|
Style Transfer (I8)
|
98% |
8003
10.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1204
43.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1276
45.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3218
114.9 IPS |
|
|
Text Classification (F32)
|
100% |
459
659.7 IPS |
|
|
Text Classification (F16)
|
100% |
554
796.2 IPS |
|
|
Text Classification (I8)
|
92% |
737
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
810
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (I8)
|
64% |
780
14.3 IPS |
