OnePlus CPH2655
Geekbench ML Score
1647
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 18 2024 04:41 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% |
936
175.2 IPS |
|
|
Image Classification (F16)
|
100% |
986
184.5 IPS |
|
|
Image Classification (I8)
|
97% |
1317
246.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1391
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1277
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1842
2.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1830
2.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
8668
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (F16)
|
100% |
1078
80.5 IPS |
|
|
Object Detection (I8)
|
61% |
2169
162.0 IPS |
|
|
Face Detection (F32)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (I8)
|
86% |
3690
43.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1938
15.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1969
15.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3866
30.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3133
4.12 IPS |
|
|
Style Transfer (F16)
|
100% |
3133
4.12 IPS |
|
|
Style Transfer (I8)
|
98% |
7772
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1311
46.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1272
45.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3624
129.4 IPS |
|
|
Text Classification (F32)
|
100% |
583
838.4 IPS |
|
|
Text Classification (F16)
|
100% |
474
681.8 IPS |
|
|
Text Classification (I8)
|
92% |
766
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
946
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
856
15.8 IPS |
|
|
Machine Translation (I8)
|
64% |
782
14.4 IPS |
