OnePlus PJZ110
Geekbench AI Score
2357
Single Precision Score
2411
Half Precision Score
4182
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 09:43 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
1753
325.9 IPS |
|
|
Image Classification (Q)
|
100% |
4041
751.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4920
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4462
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4632
5.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
11619
13.8 IPS |
|
|
Object Detection (SP)
|
98% |
1432
114.0 IPS |
|
|
Object Detection (HP)
|
98% |
1465
116.6 IPS |
|
|
Object Detection (Q)
|
83% |
3261
263.4 IPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (Q)
|
95% |
7681
91.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3924
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3848
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8189
75.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9808
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9699
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19992
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4955
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
768
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
