OnePlus PJZ110
Geekbench AI Score
2149
Single Precision Score
2256
Half Precision Score
2869
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:38 PM |
| Views | 1 |
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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.0 IPS |
|
|
Image Classification (Q)
|
100% |
2524
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3999
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4498
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
10655
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
1314
104.6 IPS |
|
|
Object Detection (HP)
|
98% |
1328
105.7 IPS |
|
|
Object Detection (Q)
|
83% |
2041
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
2465
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (Q)
|
95% |
5797
69.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4004
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4035
31.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6100
55.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10049
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9984
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19674
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2680
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
747
997.5 IPS |
|
|
Text Classification (HP)
|
99% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
349
470.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1181
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
265
9.41 IPS |
