OnePlus PJZ110
Geekbench AI Score
2512
Single Precision Score
2512
Half Precision Score
4837
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 12:54 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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
1813
337.2 IPS |
|
|
Image Classification (Q)
|
100% |
3994
742.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5022
81.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4455
5.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
12304
14.6 IPS |
|
|
Object Detection (SP)
|
98% |
1547
123.1 IPS |
|
|
Object Detection (HP)
|
98% |
1526
121.5 IPS |
|
|
Object Detection (Q)
|
83% |
3871
312.7 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
9621
114.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4114
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4114
31.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9373
85.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10160
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10242
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24502
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6444
238.8 IPS |
|
|
Text Classification (SP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1018
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
