OnePlus PJZ110
Geekbench AI Score
710
Single Precision Score
27349
Half Precision Score
62017
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 07:44 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
20911
3.89 KIPS |
|
|
Image Classification (Q)
|
97% |
46707
8.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
13458
218.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
41940
682.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
121640
141.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
479253
560.9 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
19277
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
22952
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
43394
515.6 IPS |
|
|
Face Detection (Q)
|
97% |
160361
1.91 KIPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
81813
630.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
141073
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1497
1.92 IPS |
|
|
Style Transfer (HP)
|
98% |
98921
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
496323
640.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55118
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135255
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
645
860.7 IPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
8135
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3162
81.5 IPS |
