OnePlus NE2211
Geekbench ML Score
273
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | OnePlus NE2211 |
| Model ID | OnePlus NE2211 |
| Motherboard | taro |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 1 part 529 revision 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
338
36.2 IPS |
|
|
Image Classification (F16)
|
100% |
335
35.9 IPS |
|
|
Image Classification (I8)
|
81% |
92
9.83 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
368
2.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
170
1.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
206
0.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
207
0.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
38
0.15 IPS |
|
|
Object Detection (F32)
|
100% |
480
16.9 IPS |
|
|
Object Detection (F16)
|
100% |
483
17.0 IPS |
|
|
Object Detection (I8)
|
52% |
137
4.80 IPS |
|
|
Face Detection (F32)
|
100% |
500
5.74 IPS |
|
|
Face Detection (F16)
|
100% |
493
5.66 IPS |
|
|
Face Detection (I8)
|
75% |
106
1.22 IPS |
|
|
Text Classification (F32)
|
100% |
372
147.3 IPS |
|
|
Text Classification (F16)
|
100% |
369
145.8 IPS |
|
|
Machine Translation (F32)
|
100% |
695
107.1 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
