OnePlus PJZ110
Geekbench ML Score
1705
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 09 2025 04:59 AM |
| Views | 3 |
System Information
| 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 | 14.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
913
170.9 IPS |
|
|
Image Classification (F16)
|
100% |
938
175.4 IPS |
|
|
Image Classification (I8)
|
97% |
1396
261.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1389
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1240
20.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1830
2.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
1921
2.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
8754
10.6 IPS |
|
|
Object Detection (F32)
|
100% |
1104
82.4 IPS |
|
|
Object Detection (F16)
|
100% |
1114
83.1 IPS |
|
|
Object Detection (I8)
|
61% |
2207
164.7 IPS |
|
|
Face Detection (F32)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (I8)
|
86% |
4025
47.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2025
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1991
15.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
4197
32.5 IPS |
|
|
Style Transfer (F32)
|
100% |
3112
4.09 IPS |
|
|
Style Transfer (F16)
|
100% |
3106
4.09 IPS |
|
|
Style Transfer (I8)
|
98% |
7617
10.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1123
40.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1189
42.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2571
91.8 IPS |
|
|
Text Classification (F32)
|
100% |
853
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
856
1.23 KIPS |
|
|
Text Classification (I8)
|
92% |
556
798.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1572
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1519
28.0 IPS |
|
|
Machine Translation (I8)
|
64% |
550
10.1 IPS |
