OnePlus CPH2581
Geekbench AI Score
289
Single Precision Score
290
Half Precision Score
630
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 04:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
97% |
618
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
682
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
392
0.46 IPS |
|
|
Pose Estimation (Q)
|
98% |
956
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.5 IPS |
|
|
Object Detection (Q)
|
89% |
394
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
432
5.14 IPS |
|
|
Face Detection (Q)
|
97% |
828
9.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.63 IPS |
|
|
Depth Estimation (HP)
|
100% |
343
2.64 IPS |
|
|
Depth Estimation (Q)
|
73% |
862
7.05 IPS |
|
|
Style Transfer (SP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
612
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1685
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.4 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.8 IPS |
|
|
Text Classification (Q)
|
91% |
325
437.5 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
