OnePlus 7T
Geekbench ML Score
529
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 23 2024 09:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus 7T |
| Model ID | OnePlus HD1901 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
253
47.4 IPS |
|
|
Image Classification (F16)
|
100% |
256
47.9 IPS |
|
|
Image Classification (I8)
|
97% |
467
87.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
344
5.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
338
5.64 IPS |
|
|
Image Segmentation (I8)
|
98% |
373
6.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
555
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
561
0.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
2531
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
306
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
288
21.5 IPS |
|
|
Object Detection (I8)
|
61% |
691
51.6 IPS |
|
|
Face Detection (F32)
|
100% |
567
6.75 IPS |
|
|
Face Detection (F16)
|
100% |
573
6.81 IPS |
|
|
Face Detection (I8)
|
86% |
1123
13.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
564
4.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
555
4.30 IPS |
|
|
Depth Estimation (I8)
|
95% |
1133
8.79 IPS |
|
|
Style Transfer (F32)
|
100% |
906
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
894
1.18 IPS |
|
|
Style Transfer (I8)
|
98% |
2243
2.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
354
12.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
353
12.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1197
42.8 IPS |
|
|
Text Classification (F32)
|
100% |
317
456.3 IPS |
|
|
Text Classification (F16)
|
100% |
317
456.2 IPS |
|
|
Text Classification (I8)
|
92% |
274
393.9 IPS |
|
|
Machine Translation (F32)
|
100% |
627
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
642
11.8 IPS |
|
|
Machine Translation (I8)
|
64% |
210
3.87 IPS |
