OnePlus CPH2585
Geekbench AI Score
831
Single Precision Score
822
Half Precision Score
1227
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:31 PM |
| Views | 2 |
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% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (Q)
|
100% |
1096
203.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1307
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1551
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1398
1.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
2990
3.55 IPS |
|
|
Object Detection (SP)
|
98% |
461
36.7 IPS |
|
|
Object Detection (HP)
|
98% |
478
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
857
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
1985
23.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
833
6.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1172
9.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
2069
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2531
3.29 IPS |
|
|
Style Transfer (HP)
|
89% |
3589
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
5818
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1333
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.9 IPS |
|
|
Text Classification (HP)
|
99% |
341
455.0 IPS |
|
|
Text Classification (Q)
|
88% |
356
480.5 IPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
50% |
187
6.63 IPS |
