OnePlus CPH2585
Geekbench AI Score
488
Single Precision Score
16464
Half Precision Score
37441
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Snappertbk |
| Upload Date | July 06 2025 07:09 PM |
| Views | 7 |
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% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
12881
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
32121
5.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
7846
127.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21831
355.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
71216
83.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
295034
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
12163
964.8 IPS |
|
|
Object Detection (Q)
|
86% |
13856
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
25351
301.2 IPS |
|
|
Face Detection (Q)
|
97% |
89665
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
44637
343.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
82370
771.3 IPS |
|
|
Style Transfer (SP)
|
100% |
999
1.28 IPS |
|
|
Style Transfer (HP)
|
98% |
59534
76.8 IPS |
|
|
Style Transfer (Q)
|
98% |
294467
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32571
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82050
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
438
584.5 IPS |
|
|
Text Classification (HP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1873
49.1 IPS |
