OnePlus PJZ110
Geekbench AI Score
2615
Single Precision Score
2581
Half Precision Score
3419
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 08 2024 08:28 AM |
| 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% |
1764
328.1 IPS |
|
|
Image Classification (HP)
|
100% |
1807
336.0 IPS |
|
|
Image Classification (Q)
|
100% |
3243
603.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4159
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5023
5.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
11372
13.5 IPS |
|
|
Object Detection (SP)
|
98% |
1495
119.0 IPS |
|
|
Object Detection (HP)
|
98% |
1502
119.5 IPS |
|
|
Object Detection (Q)
|
83% |
2315
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3968
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (Q)
|
95% |
6340
75.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4481
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4334
33.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7143
65.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11123
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10769
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20747
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1984
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3506
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
564
760.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
331
11.7 IPS |
