OnePlus CPH2585
Geekbench AI Score
256
Single Precision Score
15950
Half Precision Score
35561
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 07:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
253
47.1 IPS |
|
|
Image Classification (HP)
|
100% |
12746
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
31987
5.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
7812
126.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21627
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
72427
84.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
291592
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.33 IPS |
|
|
Object Detection (HP)
|
100% |
11399
904.2 IPS |
|
|
Object Detection (Q)
|
86% |
12723
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
22642
269.0 IPS |
|
|
Face Detection (Q)
|
97% |
72493
864.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
283
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
43956
338.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
78821
738.1 IPS |
|
|
Style Transfer (SP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (HP)
|
98% |
59978
77.3 IPS |
|
|
Style Transfer (Q)
|
98% |
291390
375.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31422
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81425
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (HP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1672
43.8 IPS |
