OnePlus CPH2613
Geekbench ML Score
608
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 04:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2613 |
| Model ID | OnePlus CPH2613 |
| Motherboard | crow |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
289
54.0 IPS |
|
|
Image Classification (F16)
|
100% |
286
53.6 IPS |
|
|
Image Classification (I8)
|
97% |
639
119.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
396
6.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
386
6.45 IPS |
|
|
Image Segmentation (I8)
|
98% |
418
6.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
553
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
579
0.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
3089
3.74 IPS |
|
|
Object Detection (F32)
|
100% |
322
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
335
25.0 IPS |
|
|
Object Detection (I8)
|
61% |
807
60.3 IPS |
|
|
Face Detection (F32)
|
100% |
567
6.74 IPS |
|
|
Face Detection (F16)
|
100% |
555
6.59 IPS |
|
|
Face Detection (I8)
|
86% |
1481
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
513
3.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
606
4.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
1611
12.5 IPS |
|
|
Style Transfer (F32)
|
100% |
967
1.27 IPS |
|
|
Style Transfer (F16)
|
100% |
948
1.25 IPS |
|
|
Style Transfer (I8)
|
98% |
2850
3.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
373
13.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1503
53.7 IPS |
|
|
Text Classification (F32)
|
100% |
429
616.7 IPS |
|
|
Text Classification (F16)
|
100% |
444
638.5 IPS |
|
|
Text Classification (I8)
|
92% |
317
456.2 IPS |
|
|
Machine Translation (F32)
|
100% |
659
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
671
12.3 IPS |
|
|
Machine Translation (I8)
|
64% |
414
7.62 IPS |
