OnePlus CPH2449
Geekbench ML Score
1020
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 22 2023 12:22 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2449 |
| Model ID | OnePlus CPH2449 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.02 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
514
96.2 IPS |
|
|
Image Classification (F16)
|
100% |
511
95.6 IPS |
|
|
Image Classification (I8)
|
97% |
871
163.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
637
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
631
10.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
698
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1186
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
1137
1.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
4888
5.92 IPS |
|
|
Object Detection (F32)
|
100% |
549
41.0 IPS |
|
|
Object Detection (F16)
|
100% |
535
39.9 IPS |
|
|
Object Detection (I8)
|
61% |
1150
85.9 IPS |
|
|
Face Detection (F32)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
2068
24.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1140
8.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
1110
8.61 IPS |
|
|
Depth Estimation (I8)
|
95% |
2147
16.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2030
2.67 IPS |
|
|
Style Transfer (F16)
|
100% |
2028
2.67 IPS |
|
|
Style Transfer (I8)
|
98% |
4332
5.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
740
26.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
715
25.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2148
76.7 IPS |
|
|
Text Classification (F32)
|
100% |
616
885.1 IPS |
|
|
Text Classification (F16)
|
100% |
593
852.5 IPS |
|
|
Text Classification (I8)
|
92% |
453
650.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1244
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (I8)
|
64% |
398
7.32 IPS |
