OnePlus PJZ110
Geekbench ML Score
1601
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 02:05 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 | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
923
172.8 IPS |
|
|
Image Classification (F16)
|
100% |
1067
199.7 IPS |
|
|
Image Classification (I8)
|
97% |
1383
258.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1366
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1167
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1849
2.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1848
2.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
8857
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
970
72.4 IPS |
|
|
Object Detection (F16)
|
100% |
1092
81.5 IPS |
|
|
Object Detection (I8)
|
61% |
2148
160.4 IPS |
|
|
Face Detection (F32)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (I8)
|
86% |
3668
43.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1962
15.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1995
15.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4586
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3076
4.05 IPS |
|
|
Style Transfer (F16)
|
100% |
3114
4.10 IPS |
|
|
Style Transfer (I8)
|
98% |
8131
10.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1270
45.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1246
44.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3385
120.9 IPS |
|
|
Text Classification (F32)
|
100% |
538
773.0 IPS |
|
|
Text Classification (F16)
|
100% |
431
619.6 IPS |
|
|
Text Classification (I8)
|
92% |
766
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
716
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
746
13.7 IPS |
|
|
Machine Translation (I8)
|
64% |
726
13.4 IPS |
