OnePlus 8T+ 5G
Geekbench ML Score
495
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 02:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 8T+ 5G |
| Model ID | OnePlus KB2007 |
| 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 | 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 | 11.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
227
42.5 IPS |
|
|
Image Classification (F16)
|
100% |
230
43.1 IPS |
|
|
Image Classification (I8)
|
97% |
576
107.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
332
5.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
5.57 IPS |
|
|
Image Segmentation (I8)
|
98% |
431
7.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
528
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
517
0.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
2544
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
245
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
268
20.0 IPS |
|
|
Object Detection (I8)
|
61% |
743
55.5 IPS |
|
|
Face Detection (F32)
|
100% |
552
6.56 IPS |
|
|
Face Detection (F16)
|
100% |
561
6.67 IPS |
|
|
Face Detection (I8)
|
86% |
1451
17.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
521
4.04 IPS |
|
|
Depth Estimation (F16)
|
100% |
517
4.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
1346
10.4 IPS |
|
|
Style Transfer (F32)
|
100% |
862
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
820
1.08 IPS |
|
|
Style Transfer (I8)
|
98% |
2113
2.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
284
10.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
290
10.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
940
33.6 IPS |
|
|
Text Classification (F32)
|
100% |
241
347.0 IPS |
|
|
Text Classification (F16)
|
100% |
238
341.8 IPS |
|
|
Text Classification (I8)
|
92% |
208
299.3 IPS |
|
|
Machine Translation (F32)
|
100% |
517
9.52 IPS |
|
|
Machine Translation (F16)
|
100% |
538
9.91 IPS |
|
|
Machine Translation (I8)
|
64% |
227
4.18 IPS |
