OnePlus PJA110
Geekbench AI Score
260
Single Precision Score
15914
Half Precision Score
35859
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 06:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| 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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
12499
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
31966
5.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
7426
120.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20763
337.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
72306
84.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
292720
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
11568
917.6 IPS |
|
|
Object Detection (Q)
|
86% |
12990
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
423
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
23259
276.4 IPS |
|
|
Face Detection (Q)
|
97% |
78284
933.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
44259
341.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
79783
747.1 IPS |
|
|
Style Transfer (SP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (HP)
|
98% |
59623
76.9 IPS |
|
|
Style Transfer (Q)
|
98% |
292901
377.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32282
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81753
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
205
273.7 IPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1667
43.7 IPS |
