OnePlus PJX110
Geekbench AI Score
2575
Single Precision Score
2529
Half Precision Score
4090
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 01:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1782
331.4 IPS |
|
|
Image Classification (HP)
|
100% |
1800
334.7 IPS |
|
|
Image Classification (Q)
|
100% |
3248
604.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3630
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4135
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3769
4.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
8145
9.66 IPS |
|
|
Object Detection (SP)
|
98% |
1892
150.6 IPS |
|
|
Object Detection (HP)
|
98% |
1942
154.6 IPS |
|
|
Object Detection (Q)
|
83% |
2819
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
6628
79.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3976
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3532
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6336
58.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8881
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9169
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18606
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4935
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1446
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
869
30.8 IPS |
