OnePlus CPH2585
Geekbench AI Score
725
Single Precision Score
907
Half Precision Score
908
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nanolm |
| Upload Date | July 02 2025 05:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
96% |
637
119.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1057
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
943
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1409
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
87% |
783
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
2193
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1426
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2724
21.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1940
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3579
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
8087
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7812
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
356
13.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
133
176.9 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.4 IPS |
|
|
Text Classification (Q)
|
91% |
220
295.7 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.14 IPS |
|
|
Machine Translation (Q)
|
57% |
198
4.84 IPS |
