OnePlus PJD110
Geekbench AI Score
209
Single Precision Score
214
Half Precision Score
454
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 19 2024 09:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| 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 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
97% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
357
5.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
203
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
759
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.55 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.41 IPS |
|
|
Object Detection (Q)
|
89% |
313
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (Q)
|
97% |
656
7.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.10 IPS |
|
|
Depth Estimation (HP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (Q)
|
73% |
684
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
491
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1340
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
435
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.9 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (Q)
|
91% |
258
346.9 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
234
5.71 IPS |
