OnePlus PJZ110
Geekbench AI Score
1008
Single Precision Score
1726
Half Precision Score
1812
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bakacai |
| Upload Date | January 08 2025 08:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 22.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
1160
215.7 IPS |
|
|
Image Classification (Q)
|
99% |
941
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2292
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1569
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
2704
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (Q)
|
86% |
1152
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
4286
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1558
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4572
35.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3760
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5807
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
12405
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12324
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2094
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
203
270.7 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.6 IPS |
|
|
Text Classification (Q)
|
91% |
335
449.8 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
57% |
408
9.98 IPS |
