OnePlus CPH2585
Geekbench AI Score
685
Single Precision Score
652
Half Precision Score
1103
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 01:00 PM |
| Views | 1 |
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% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.4 IPS |
|
|
Image Classification (Q)
|
100% |
534
99.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1293
1.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
2088
2.48 IPS |
|
|
Object Detection (SP)
|
98% |
491
39.1 IPS |
|
|
Object Detection (HP)
|
98% |
441
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
853
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (HP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
1911
22.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1018
7.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
1027
7.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
2190
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2491
3.23 IPS |
|
|
Style Transfer (HP)
|
89% |
2569
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4772
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1322
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
335
447.3 IPS |
|
|
Text Classification (HP)
|
99% |
211
281.9 IPS |
|
|
Text Classification (Q)
|
88% |
458
618.2 IPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (Q)
|
50% |
282
10.0 IPS |
