OnePlus CPH2655
Geekbench AI Score
517
Single Precision Score
546
Half Precision Score
892
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SquirtleSquad |
| Upload Date | January 30 2025 08:09 PM |
| Views | 2 |
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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
314
58.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3504
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2876
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2837
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
5528
6.56 IPS |
|
|
Object Detection (SP)
|
98% |
276
22.0 IPS |
|
|
Object Detection (HP)
|
98% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
83% |
256
20.6 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (Q)
|
95% |
5522
65.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
771
5.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
1054
9.65 IPS |
|
|
Style Transfer (SP)
|
89% |
7474
9.70 IPS |
|
|
Style Transfer (HP)
|
89% |
7621
9.89 IPS |
|
|
Style Transfer (Q)
|
98% |
15894
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3454
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
36
47.7 IPS |
|
|
Text Classification (HP)
|
99% |
31
41.9 IPS |
|
|
Text Classification (Q)
|
88% |
36
49.1 IPS |
|
|
Machine Translation (SP)
|
100% |
40
0.69 IPS |
|
|
Machine Translation (HP)
|
100% |
39
0.68 IPS |
|
|
Machine Translation (Q)
|
50% |
18
0.65 IPS |
