OnePlus PJZ110
Geekbench ML Score
1636
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 04:49 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% |
936
175.1 IPS |
|
|
Image Classification (F16)
|
100% |
1033
193.3 IPS |
|
|
Image Classification (I8)
|
97% |
1518
284.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1460
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1468
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1839
2.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1822
2.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
8241
9.98 IPS |
|
|
Object Detection (F32)
|
100% |
1032
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
1119
83.6 IPS |
|
|
Object Detection (I8)
|
61% |
2353
175.6 IPS |
|
|
Face Detection (F32)
|
100% |
1963
23.3 IPS |
|
|
Face Detection (F16)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (I8)
|
86% |
3765
44.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1960
15.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1956
15.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4792
37.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3136
4.12 IPS |
|
|
Style Transfer (F16)
|
100% |
3088
4.06 IPS |
|
|
Style Transfer (I8)
|
98% |
7647
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1268
45.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1323
47.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3595
128.4 IPS |
|
|
Text Classification (F32)
|
100% |
729
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
316
454.1 IPS |
|
|
Text Classification (I8)
|
92% |
828
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
617
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
773
14.2 IPS |
|
|
Machine Translation (I8)
|
64% |
710
13.1 IPS |
