OnePlus PJZ110
Geekbench AI Score
1022
Single Precision Score
1733
Half Precision Score
1774
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:43 PM |
| Views | 1 |
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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
964
179.3 IPS |
|
|
Image Classification (Q)
|
99% |
1368
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1799
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1638
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2790
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
2786
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (Q)
|
86% |
1156
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
4173
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1582
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4560
35.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3769
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5792
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
12406
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12318
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2130
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2095
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.4 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.14 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
