OnePlus CPH2583
Geekbench AI Score
476
Single Precision Score
445
Half Precision Score
1023
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | August 15 2024 06:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
97% |
821
153.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
1832
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
89% |
865
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
726
8.62 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (Q)
|
97% |
1695
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
655
5.05 IPS |
|
|
Depth Estimation (HP)
|
100% |
342
2.64 IPS |
|
|
Depth Estimation (Q)
|
73% |
1810
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
870
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2609
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
749
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (HP)
|
100% |
285
379.9 IPS |
|
|
Text Classification (Q)
|
91% |
326
438.2 IPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
603
14.7 IPS |
