OnePlus 8T
Geekbench ML Score
1185
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 11 2021 03:23 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
924
99.0 IPS |
|
|
Image Classification (F16)
|
100% |
1480
158.5 IPS |
|
|
Image Classification (I8)
|
80% |
1322
141.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2348
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3958
24.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3687
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1219
4.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2078
8.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
2066
8.36 IPS |
|
|
Object Detection (F32)
|
100% |
458
16.1 IPS |
|
|
Object Detection (F16)
|
99% |
588
20.6 IPS |
|
|
Object Detection (I8)
|
53% |
598
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1657
19.0 IPS |
|
|
Face Detection (F16)
|
97% |
2835
32.6 IPS |
|
|
Face Detection (I8)
|
76% |
2622
30.1 IPS |
|
|
Text Classification (F32)
|
100% |
502
198.7 IPS |
|
|
Text Classification (F16)
|
98% |
529
209.2 IPS |
|
|
Machine Translation (F32)
|
100% |
386
59.5 IPS |
|
|
Machine Translation (F16)
|
100% |
385
59.3 IPS |
