OnePlus CPH2583
Geekbench AI Score
2654
Single Precision Score
2676
Half Precision Score
4215
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.6 IPS |
|
|
Image Classification (Q)
|
100% |
3449
641.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4063
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3978
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
9258
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1955
155.6 IPS |
|
|
Object Detection (HP)
|
98% |
1871
148.9 IPS |
|
|
Object Detection (Q)
|
83% |
2740
221.3 IPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (Q)
|
95% |
6416
76.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3970
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6570
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9702
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9611
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19462
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1984
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4922
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
912
1.22 KIPS |
|
|
Text Classification (Q)
|
88% |
1389
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
888
31.5 IPS |
