OnePlus PJZ110
Geekbench ML Score
383
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 04:56 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
291
54.4 IPS |
|
|
Image Classification (F16)
|
100% |
300
56.2 IPS |
|
|
Image Classification (I8)
|
97% |
1054
197.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
401
6.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
391
6.53 IPS |
|
|
Image Segmentation (I8)
|
98% |
956
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
477
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
230
0.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
837
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
131
9.81 IPS |
|
|
Object Detection (F16)
|
100% |
130
9.71 IPS |
|
|
Object Detection (I8)
|
61% |
438
32.7 IPS |
|
|
Face Detection (F32)
|
100% |
357
4.24 IPS |
|
|
Face Detection (F16)
|
100% |
354
4.21 IPS |
|
|
Face Detection (I8)
|
86% |
814
9.68 IPS |
|
|
Depth Estimation (F32)
|
100% |
299
2.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
315
2.44 IPS |
|
|
Depth Estimation (I8)
|
95% |
816
6.33 IPS |
|
|
Style Transfer (F32)
|
100% |
553
0.73 IPS |
|
|
Style Transfer (F16)
|
100% |
552
0.73 IPS |
|
|
Style Transfer (I8)
|
98% |
1502
1.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
152
5.44 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
153
5.46 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
530
18.9 IPS |
|
|
Text Classification (F32)
|
100% |
181
259.8 IPS |
|
|
Text Classification (F16)
|
100% |
177
253.9 IPS |
|
|
Text Classification (I8)
|
92% |
290
417.4 IPS |
|
|
Machine Translation (F32)
|
100% |
344
6.34 IPS |
|
|
Machine Translation (F16)
|
100% |
628
11.6 IPS |
|
|
Machine Translation (I8)
|
64% |
371
6.83 IPS |
