OnePlus PJZ110
Geekbench AI Score
2575
Single Precision Score
3990
Half Precision Score
3406
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 07:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
2109
392.3 IPS |
|
|
Image Classification (Q)
|
100% |
1936
360.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3084
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6372
103.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6199
100.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12856
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23037
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22623
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
99% |
1872
148.5 IPS |
|
|
Object Detection (Q)
|
85% |
1813
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
5161
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
8376
99.5 IPS |
|
|
Face Detection (Q)
|
97% |
7871
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6577
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8876
68.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6918
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16106
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35492
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34879
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5268
194.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5089
188.6 IPS |
|
|
Text Classification (SP)
|
35% |
74
716.3 IPS |
|
|
Text Classification (HP)
|
35% |
72
658.0 IPS |
|
|
Text Classification (Q)
|
33% |
62
691.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
48% |
713
27.3 IPS |
