OnePlus PJD110
Geekbench ML Score
831
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 11:55 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJD110 |
| Model ID | OnePlus PJD110 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 5 Cores @ 2.96 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
462
86.4 IPS |
|
|
Image Classification (F16)
|
100% |
581
108.7 IPS |
|
|
Image Classification (I8)
|
99% |
549
102.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
652
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1049
17.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1027
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
658
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
1368
1.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
1422
1.72 IPS |
|
|
Object Detection (F32)
|
100% |
253
18.9 IPS |
|
|
Object Detection (F16)
|
100% |
279
20.8 IPS |
|
|
Object Detection (I8)
|
62% |
264
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (F16)
|
97% |
2751
32.7 IPS |
|
|
Face Detection (I8)
|
86% |
2302
27.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1006
7.81 IPS |
|
|
Depth Estimation (F16)
|
100% |
2070
16.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2032
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3612
4.75 IPS |
|
|
Style Transfer (F16)
|
100% |
5878
7.73 IPS |
|
|
Style Transfer (I8)
|
98% |
5121
6.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
307
11.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
615
22.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
614
21.9 IPS |
|
|
Text Classification (F32)
|
100% |
337
484.2 IPS |
|
|
Text Classification (F16)
|
100% |
334
480.5 IPS |
|
|
Text Classification (I8)
|
92% |
549
788.5 IPS |
|
|
Machine Translation (F32)
|
100% |
539
9.92 IPS |
|
|
Machine Translation (F16)
|
100% |
286
5.26 IPS |
|
|
Machine Translation (I8)
|
64% |
319
5.87 IPS |
