OnePlus 8T
Geekbench ML Score
302
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 11 2021 03:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OnePlus 8T |
| Model ID | OnePlus KB2000 |
| Motherboard | kona |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
235
25.2 IPS |
|
|
Image Classification (F16)
|
100% |
217
23.2 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
418
2.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
404
2.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
604
3.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
183
0.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
183
0.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
160
0.65 IPS |
|
|
Object Detection (F32)
|
100% |
254
8.90 IPS |
|
|
Object Detection (F16)
|
100% |
288
10.1 IPS |
|
|
Object Detection (I8)
|
52% |
255
8.93 IPS |
|
|
Face Detection (F32)
|
100% |
451
5.18 IPS |
|
|
Face Detection (F16)
|
100% |
485
5.57 IPS |
|
|
Face Detection (I8)
|
75% |
437
5.02 IPS |
|
|
Text Classification (F32)
|
100% |
300
118.5 IPS |
|
|
Text Classification (F16)
|
100% |
300
118.5 IPS |
|
|
Machine Translation (F32)
|
100% |
388
59.7 IPS |
|
|
Machine Translation (F16)
|
100% |
386
59.5 IPS |
