OnePlus PJZ110
Geekbench AI Score
2477
Single Precision Score
2540
Half Precision Score
4615
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 04:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.6 IPS |
|
|
Image Classification (Q)
|
100% |
3680
684.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5204
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4740
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4704
5.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
12345
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1477
117.5 IPS |
|
|
Object Detection (HP)
|
98% |
1540
122.5 IPS |
|
|
Object Detection (Q)
|
83% |
3540
286.0 IPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
7942
94.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4096
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4047
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9841
90.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10242
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10049
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21115
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6422
238.0 IPS |
|
|
Text Classification (SP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
980
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
505
17.9 IPS |
