OnePlus 8T
Geekbench ML Score
640
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 08:40 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus 8T |
| Model ID | OnePlus KB2003 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 0 MHz |
| Cluster 1 | 4 Cores @ 0.00 Hz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
904
96.9 IPS |
|
|
Image Classification (F16)
|
100% |
396
42.4 IPS |
|
|
Image Classification (I8)
|
80% |
2846
304.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1088
6.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
568
3.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
5681
35.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
572
2.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
3712
15.0 IPS |
|
|
Object Detection (F32)
|
100% |
651
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
434
15.2 IPS |
|
|
Object Detection (I8)
|
52% |
1320
46.3 IPS |
|
|
Face Detection (F32)
|
100% |
1302
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
547
6.29 IPS |
|
|
Face Detection (I8)
|
75% |
5046
58.0 IPS |
|
|
Text Classification (F32)
|
54% |
16
6.50 IPS |
|
|
Text Classification (F16)
|
54% |
16
6.37 IPS |
|
|
Machine Translation (F32)
|
100% |
551
84.9 IPS |
|
|
Machine Translation (F16)
|
100% |
553
85.2 IPS |
