OnePlus PJZ110
Geekbench ML Score
1639
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 26 2024 05:07 PM |
| Views | 1 |
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% |
926
173.3 IPS |
|
|
Image Classification (F16)
|
100% |
919
172.0 IPS |
|
|
Image Classification (I8)
|
97% |
1553
290.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1396
23.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1387
23.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1825
2.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
1850
2.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
8619
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (F16)
|
100% |
926
69.1 IPS |
|
|
Object Detection (I8)
|
61% |
2088
155.9 IPS |
|
|
Face Detection (F32)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (F16)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (I8)
|
86% |
3905
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1978
15.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1976
15.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
3905
30.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3112
4.09 IPS |
|
|
Style Transfer (F16)
|
100% |
3087
4.06 IPS |
|
|
Style Transfer (I8)
|
98% |
8037
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1193
42.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1256
44.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3765
134.5 IPS |
|
|
Text Classification (F32)
|
100% |
492
706.5 IPS |
|
|
Text Classification (F16)
|
100% |
513
737.5 IPS |
|
|
Text Classification (I8)
|
92% |
784
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
834
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (I8)
|
64% |
793
14.6 IPS |
