OnePlus CPH2583
Geekbench AI Score
498
Single Precision Score
497
Half Precision Score
1139
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 04:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
806
150.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
801
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
2013
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
87% |
847
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
728
8.65 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.55 IPS |
|
|
Face Detection (Q)
|
97% |
1706
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
646
4.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1546
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1026
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2567
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1156
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.9 IPS |
|
|
Text Classification (HP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (Q)
|
91% |
734
986.7 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
57% |
585
14.3 IPS |
