OnePlus CPH2655
Geekbench ML Score
1617
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 18 2024 04:43 PM |
| Views | 1 |
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% |
954
178.4 IPS |
|
|
Image Classification (F16)
|
100% |
1004
187.9 IPS |
|
|
Image Classification (I8)
|
97% |
1401
262.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1057
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1837
2.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
1836
2.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
8297
10.0 IPS |
|
|
Object Detection (F32)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (F16)
|
100% |
1031
77.0 IPS |
|
|
Object Detection (I8)
|
61% |
2080
155.3 IPS |
|
|
Face Detection (F32)
|
100% |
2108
25.1 IPS |
|
|
Face Detection (F16)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (I8)
|
86% |
3699
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1956
15.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1957
15.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4424
34.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3121
4.11 IPS |
|
|
Style Transfer (F16)
|
100% |
3114
4.10 IPS |
|
|
Style Transfer (I8)
|
98% |
7760
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1217
43.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1236
44.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3862
137.9 IPS |
|
|
Text Classification (F32)
|
100% |
477
685.6 IPS |
|
|
Text Classification (F16)
|
100% |
404
581.2 IPS |
|
|
Text Classification (I8)
|
92% |
750
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
939
17.3 IPS |
|
|
Machine Translation (I8)
|
64% |
773
14.2 IPS |
