OnePlus PJX110
Geekbench AI Score
267
Single Precision Score
19821
Half Precision Score
48194
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 02:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJX110 |
| Model ID | OnePlus PJX110 |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (HP)
|
100% |
14893
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
40898
7.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
10325
167.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29309
476.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
76063
88.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
393397
460.4 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
13635
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
18379
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
429
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
29281
347.9 IPS |
|
|
Face Detection (Q)
|
97% |
99346
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
340
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
56952
438.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
111512
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
607
0.78 IPS |
|
|
Style Transfer (HP)
|
98% |
81841
105.5 IPS |
|
|
Style Transfer (Q)
|
98% |
419390
540.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38884
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
102504
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
197
263.4 IPS |
|
|
Text Classification (HP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6765
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2421
63.4 IPS |
