OnePlus PJZ110
Geekbench AI Score
2465
Single Precision Score
2436
Half Precision Score
4686
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 07:45 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 | 22.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (Q)
|
100% |
3817
709.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5339
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4424
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4556
5.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
11174
13.3 IPS |
|
|
Object Detection (SP)
|
98% |
1418
112.9 IPS |
|
|
Object Detection (HP)
|
98% |
1515
120.6 IPS |
|
|
Object Detection (Q)
|
83% |
3397
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
95% |
9041
107.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3903
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3870
29.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
9502
87.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10057
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9941
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24042
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2030
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6617
245.2 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
