OnePlus CPH2491
Geekbench ML Score
558
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 04:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2491 |
| Model ID | OnePlus CPH2491 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
285
53.3 IPS |
|
|
Image Classification (F16)
|
100% |
317
59.2 IPS |
|
|
Image Classification (I8)
|
97% |
335
62.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
372
6.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
403
6.72 IPS |
|
|
Image Segmentation (I8)
|
98% |
446
7.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
627
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
655
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
1915
2.32 IPS |
|
|
Object Detection (F32)
|
100% |
303
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
312
23.3 IPS |
|
|
Object Detection (I8)
|
61% |
403
30.1 IPS |
|
|
Face Detection (F32)
|
100% |
737
8.76 IPS |
|
|
Face Detection (F16)
|
100% |
704
8.37 IPS |
|
|
Face Detection (I8)
|
86% |
974
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
711
5.51 IPS |
|
|
Depth Estimation (F16)
|
100% |
725
5.63 IPS |
|
|
Depth Estimation (I8)
|
95% |
900
6.98 IPS |
|
|
Style Transfer (F32)
|
100% |
1333
1.75 IPS |
|
|
Style Transfer (F16)
|
100% |
1366
1.80 IPS |
|
|
Style Transfer (I8)
|
98% |
2213
2.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
467
16.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
415
14.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1093
39.1 IPS |
|
|
Text Classification (F32)
|
100% |
405
582.7 IPS |
|
|
Text Classification (F16)
|
100% |
387
556.8 IPS |
|
|
Text Classification (I8)
|
92% |
262
376.7 IPS |
|
|
Machine Translation (F32)
|
100% |
483
8.89 IPS |
|
|
Machine Translation (F16)
|
100% |
476
8.76 IPS |
|
|
Machine Translation (I8)
|
64% |
227
4.18 IPS |
