OnePlus CPH2585
Geekbench AI Score
579
Single Precision Score
536
Half Precision Score
1156
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | July 02 2025 05:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2585 |
| Model ID | OnePlus CPH2585 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
100% |
850
158.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
899
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1221
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
964
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2835
3.36 IPS |
|
|
Object Detection (SP)
|
98% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
98% |
266
21.2 IPS |
|
|
Object Detection (Q)
|
83% |
856
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
703
8.35 IPS |
|
|
Face Detection (Q)
|
95% |
2132
25.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
893
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
830
6.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1722
15.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1919
2.49 IPS |
|
|
Style Transfer (HP)
|
89% |
2028
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4477
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1115
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
220
294.1 IPS |
|
|
Text Classification (HP)
|
99% |
245
326.4 IPS |
|
|
Text Classification (Q)
|
88% |
392
529.3 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.43 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
