OnePlus CPH2583
Geekbench AI Score
2507
Single Precision Score
2415
Half Precision Score
3898
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 17 2025 05:43 AM |
| Views | 15 |
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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (HP)
|
100% |
1957
363.9 IPS |
|
|
Image Classification (Q)
|
100% |
3648
678.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3869
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3983
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3713
4.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
8644
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1860
148.0 IPS |
|
|
Object Detection (HP)
|
98% |
1898
151.0 IPS |
|
|
Object Detection (Q)
|
83% |
2726
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
3767
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3772
44.8 IPS |
|
|
Face Detection (Q)
|
95% |
6348
75.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3688
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3569
27.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6523
59.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9035
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9156
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17856
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4003
148.3 IPS |
|
|
Text Classification (SP)
|
100% |
743
992.2 IPS |
|
|
Text Classification (HP)
|
99% |
744
992.8 IPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
719
25.5 IPS |
