OnePlus PJZ110
Geekbench AI Score
1970
Single Precision Score
2030
Half Precision Score
2861
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 02:18 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% |
1152
214.2 IPS |
|
|
Image Classification (HP)
|
100% |
1161
215.9 IPS |
|
|
Image Classification (Q)
|
100% |
2107
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3970
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4032
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4033
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9613
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1171
93.2 IPS |
|
|
Object Detection (HP)
|
98% |
1229
97.8 IPS |
|
|
Object Detection (Q)
|
83% |
2178
176.0 IPS |
|
|
Face Detection (SP)
|
100% |
2518
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
5808
69.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3452
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3412
26.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5794
53.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9022
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9010
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19915
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3068
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
455
613.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
225
8.00 IPS |
