OnePlus CPH2581
Geekbench AI Score
287
Single Precision Score
290
Half Precision Score
634
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 05:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2581 |
| Model ID | OnePlus CPH2581 |
| 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% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
97% |
679
126.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
956
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
89% |
396
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (Q)
|
97% |
826
9.85 IPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.63 IPS |
|
|
Depth Estimation (HP)
|
100% |
341
2.63 IPS |
|
|
Depth Estimation (Q)
|
73% |
860
7.03 IPS |
|
|
Style Transfer (SP)
|
100% |
612
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
612
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1690
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
6.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
163
6.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.2 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.1 IPS |
|
|
Text Classification (Q)
|
91% |
326
438.2 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
