OnePlus CPH2655
Geekbench AI Score
2375
Single Precision Score
2535
Half Precision Score
4278
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Darktron |
| Upload Date | March 22 2025 09:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
1776
330.4 IPS |
|
|
Image Classification (Q)
|
100% |
4223
785.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5300
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4746
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4642
5.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
12333
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1488
118.5 IPS |
|
|
Object Detection (HP)
|
98% |
1496
119.1 IPS |
|
|
Object Detection (Q)
|
83% |
2003
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (Q)
|
95% |
8694
103.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4113
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3975
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8927
81.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10309
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10291
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22275
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2053
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4358
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
569
758.8 IPS |
|
|
Text Classification (HP)
|
99% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
926
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
