OnePlus 6T
Geekbench ML Score
232
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 05:53 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OnePlus 6T |
| Model ID | OnePlus ONEPLUS A6013 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
152
16.3 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
165
17.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
318
1.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
319
1.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
670
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
192
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
231
8.11 IPS |
|
|
Object Detection (F16)
|
100% |
230
8.09 IPS |
|
|
Object Detection (I8)
|
52% |
263
9.23 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
296
3.40 IPS |
|
|
Face Detection (I8)
|
75% |
429
4.92 IPS |
|
|
Text Classification (F32)
|
100% |
200
79.0 IPS |
|
|
Text Classification (F16)
|
100% |
202
80.0 IPS |
|
|
Machine Translation (F32)
|
100% |
235
36.3 IPS |
|
|
Machine Translation (F16)
|
100% |
233
35.9 IPS |
