OnePlus PJZ110
Geekbench ML Score
1638
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 06:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJZ110 |
| Model ID | OnePlus PJZ110 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
933
174.6 IPS |
|
|
Image Classification (F16)
|
100% |
1070
200.2 IPS |
|
|
Image Classification (I8)
|
97% |
1542
288.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1390
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1516
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1853
2.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1849
2.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
8525
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
1051
78.4 IPS |
|
|
Object Detection (F16)
|
100% |
1143
85.3 IPS |
|
|
Object Detection (I8)
|
61% |
2198
164.1 IPS |
|
|
Face Detection (F32)
|
100% |
2014
24.0 IPS |
|
|
Face Detection (F16)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (I8)
|
86% |
3702
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1940
15.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1987
15.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
4531
35.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3072
4.04 IPS |
|
|
Style Transfer (F16)
|
100% |
3074
4.04 IPS |
|
|
Style Transfer (I8)
|
98% |
7952
10.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1286
45.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1233
44.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3346
119.5 IPS |
|
|
Text Classification (F32)
|
100% |
388
557.4 IPS |
|
|
Text Classification (F16)
|
100% |
486
698.8 IPS |
|
|
Text Classification (I8)
|
92% |
687
986.7 IPS |
|
|
Machine Translation (F32)
|
100% |
895
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (I8)
|
64% |
770
14.2 IPS |
