OnePlus PJA110
Geekbench ML Score
553
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 12:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJA110 |
| Model ID | OnePlus PJA110 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.82 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
247
46.1 IPS |
|
|
Image Classification (F16)
|
100% |
243
45.5 IPS |
|
|
Image Classification (I8)
|
97% |
599
112.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
317
5.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
311
5.20 IPS |
|
|
Image Segmentation (I8)
|
98% |
614
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
439
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
440
0.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
1667
2.02 IPS |
|
|
Object Detection (F32)
|
100% |
270
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
261
19.5 IPS |
|
|
Object Detection (I8)
|
61% |
712
53.1 IPS |
|
|
Face Detection (F32)
|
100% |
611
7.27 IPS |
|
|
Face Detection (F16)
|
100% |
614
7.30 IPS |
|
|
Face Detection (I8)
|
86% |
1289
15.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
541
4.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
545
4.23 IPS |
|
|
Depth Estimation (I8)
|
95% |
1490
11.6 IPS |
|
|
Style Transfer (F32)
|
100% |
860
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
859
1.13 IPS |
|
|
Style Transfer (I8)
|
98% |
2206
2.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
304
10.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
293
10.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1052
37.6 IPS |
|
|
Text Classification (F32)
|
100% |
385
553.5 IPS |
|
|
Text Classification (F16)
|
100% |
391
562.3 IPS |
|
|
Text Classification (I8)
|
92% |
583
837.9 IPS |
|
|
Machine Translation (F32)
|
100% |
584
10.8 IPS |
|
|
Machine Translation (F16)
|
100% |
581
10.7 IPS |
|
|
Machine Translation (I8)
|
64% |
566
10.4 IPS |
