OnePlus CPH2585
Geekbench AI Score
1915
Single Precision Score
1887
Half Precision Score
2864
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 04:47 AM |
| 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 | 7.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1642
305.4 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
100% |
2264
421.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2322
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2584
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2853
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
6785
8.05 IPS |
|
|
Object Detection (SP)
|
98% |
1423
113.2 IPS |
|
|
Object Detection (HP)
|
98% |
1440
114.6 IPS |
|
|
Object Detection (Q)
|
83% |
2035
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (Q)
|
95% |
4664
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2915
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3967
36.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6720
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6788
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
12998
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3231
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
608
811.6 IPS |
|
|
Text Classification (HP)
|
99% |
603
804.8 IPS |
|
|
Text Classification (Q)
|
88% |
996
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
662
23.5 IPS |
