OnePlus CPH2583
Geekbench ML Score
931
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 25 2024 06:18 PM |
| Views | 1 |
System Information
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
414
77.4 IPS |
|
|
Image Classification (F16)
|
100% |
494
92.4 IPS |
|
|
Image Classification (I8)
|
97% |
821
153.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
589
9.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
616
10.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
615
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1399
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
1354
1.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
5266
6.38 IPS |
|
|
Object Detection (F32)
|
100% |
535
39.9 IPS |
|
|
Object Detection (F16)
|
100% |
460
34.3 IPS |
|
|
Object Detection (I8)
|
61% |
1042
77.8 IPS |
|
|
Face Detection (F32)
|
100% |
1106
13.2 IPS |
|
|
Face Detection (F16)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (I8)
|
86% |
1838
21.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1236
9.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
1239
9.61 IPS |
|
|
Depth Estimation (I8)
|
95% |
1902
14.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2415
3.18 IPS |
|
|
Style Transfer (F16)
|
100% |
2356
3.10 IPS |
|
|
Style Transfer (I8)
|
98% |
4698
6.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
557
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
563
20.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1405
50.2 IPS |
|
|
Text Classification (F32)
|
100% |
481
691.5 IPS |
|
|
Text Classification (F16)
|
100% |
331
476.2 IPS |
|
|
Text Classification (I8)
|
92% |
329
472.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1011
18.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1001
18.4 IPS |
|
|
Machine Translation (I8)
|
64% |
316
5.82 IPS |
