OnePlus PJZ110
Geekbench AI Score
1112
Single Precision Score
1071
Half Precision Score
1971
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 08:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1142
212.4 IPS |
|
|
Image Classification (HP)
|
100% |
1024
190.5 IPS |
|
|
Image Classification (Q)
|
100% |
1969
366.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3146
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2230
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
7385
8.76 IPS |
|
|
Object Detection (SP)
|
98% |
527
42.0 IPS |
|
|
Object Detection (HP)
|
98% |
590
46.9 IPS |
|
|
Object Detection (Q)
|
83% |
1567
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (Q)
|
95% |
5081
60.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2360
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
2668
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4145
5.38 IPS |
|
|
Style Transfer (HP)
|
89% |
4173
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
7687
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1521
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.4 IPS |
|
|
Text Classification (HP)
|
99% |
224
299.0 IPS |
|
|
Text Classification (Q)
|
88% |
240
324.3 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
