OnePlus CPH2581
Geekbench ML Score
881
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 21 2024 09:36 AM |
| Views | 1 |
System Information
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
466
87.2 IPS |
|
|
Image Classification (F16)
|
100% |
521
97.4 IPS |
|
|
Image Classification (I8)
|
99% |
488
91.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1024
17.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
956
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1061
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
2442
2.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
2493
3.02 IPS |
|
|
Object Detection (F32)
|
100% |
262
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
281
21.0 IPS |
|
|
Object Detection (I8)
|
62% |
278
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (F16)
|
97% |
2351
27.9 IPS |
|
|
Face Detection (I8)
|
86% |
2439
29.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1824
14.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3759
29.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3699
28.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5340
7.02 IPS |
|
|
Style Transfer (F16)
|
100% |
7787
10.2 IPS |
|
|
Style Transfer (I8)
|
98% |
7707
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
431
15.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
598
21.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
583
20.8 IPS |
|
|
Text Classification (F32)
|
100% |
148
212.3 IPS |
|
|
Text Classification (F16)
|
100% |
149
214.1 IPS |
|
|
Text Classification (I8)
|
92% |
242
347.5 IPS |
|
|
Machine Translation (F32)
|
100% |
284
5.22 IPS |
|
|
Machine Translation (F16)
|
100% |
286
5.27 IPS |
|
|
Machine Translation (I8)
|
64% |
324
5.95 IPS |
