OnePlus PJZ110
Geekbench AI Score
271
Single Precision Score
270
Half Precision Score
578
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 12:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
99% |
1105
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
365
5.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
872
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.96 IPS |
|
|
Object Detection (Q)
|
87% |
349
28.0 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
781
9.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
687
6.23 IPS |
|
|
Style Transfer (SP)
|
100% |
560
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
560
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1525
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
509
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.0 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.2 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.54 IPS |
