OnePlus PJZ110
Geekbench ML Score
1660
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 09:16 AM |
| Views | 2 |
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 | 14.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
937
175.4 IPS |
|
|
Image Classification (F16)
|
100% |
1157
216.5 IPS |
|
|
Image Classification (I8)
|
97% |
1502
281.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1458
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1393
23.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1569
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1843
2.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1845
2.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
8946
10.8 IPS |
|
|
Object Detection (F32)
|
100% |
1129
84.3 IPS |
|
|
Object Detection (F16)
|
100% |
978
73.0 IPS |
|
|
Object Detection (I8)
|
61% |
2250
168.0 IPS |
|
|
Face Detection (F32)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (F16)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (I8)
|
86% |
4217
50.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1938
15.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1913
14.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3920
30.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3077
4.05 IPS |
|
|
Style Transfer (F16)
|
100% |
3102
4.08 IPS |
|
|
Style Transfer (I8)
|
98% |
7881
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1268
45.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1286
45.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3281
117.2 IPS |
|
|
Text Classification (F32)
|
100% |
485
697.1 IPS |
|
|
Text Classification (F16)
|
100% |
439
631.4 IPS |
|
|
Text Classification (I8)
|
92% |
703
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (I8)
|
64% |
757
13.9 IPS |
