OnePlus PJF110
Geekbench ML Score
749
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 06:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJF110 |
| Model ID | OnePlus PJF110 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
509
95.3 IPS |
|
|
Image Classification (F16)
|
100% |
503
94.1 IPS |
|
|
Image Classification (I8)
|
99% |
432
80.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
588
9.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
906
15.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
838
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
758
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
1315
1.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1303
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
201
15.0 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
62% |
183
13.7 IPS |
|
|
Face Detection (F32)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (F16)
|
97% |
1567
18.6 IPS |
|
|
Face Detection (I8)
|
86% |
1383
16.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1121
8.69 IPS |
|
|
Depth Estimation (F16)
|
100% |
1952
15.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1936
15.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3299
4.34 IPS |
|
|
Style Transfer (F16)
|
100% |
4592
6.04 IPS |
|
|
Style Transfer (I8)
|
98% |
4567
6.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
349
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
517
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
521
18.6 IPS |
|
|
Text Classification (F32)
|
100% |
377
541.9 IPS |
|
|
Text Classification (F16)
|
100% |
380
545.7 IPS |
|
|
Text Classification (I8)
|
92% |
613
880.9 IPS |
|
|
Machine Translation (F32)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
282
5.19 IPS |
|
|
Machine Translation (I8)
|
64% |
316
5.81 IPS |
