OnePlus 7 Pro
Geekbench ML Score
550
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 03:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus 7 Pro |
| Model ID | OnePlus GM1911 |
| 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 @ 2.84 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% |
250
46.8 IPS |
|
|
Image Classification (F16)
|
100% |
238
44.5 IPS |
|
|
Image Classification (I8)
|
97% |
453
84.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
338
5.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
342
5.71 IPS |
|
|
Image Segmentation (I8)
|
98% |
385
6.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
572
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
573
0.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
2691
3.26 IPS |
|
|
Object Detection (F32)
|
100% |
297
22.2 IPS |
|
|
Object Detection (F16)
|
100% |
299
22.3 IPS |
|
|
Object Detection (I8)
|
61% |
668
49.9 IPS |
|
|
Face Detection (F32)
|
100% |
582
6.92 IPS |
|
|
Face Detection (F16)
|
100% |
592
7.03 IPS |
|
|
Face Detection (I8)
|
86% |
1208
14.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
598
4.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
606
4.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
1268
9.84 IPS |
|
|
Style Transfer (F32)
|
100% |
953
1.25 IPS |
|
|
Style Transfer (F16)
|
100% |
953
1.25 IPS |
|
|
Style Transfer (I8)
|
98% |
2450
3.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
366
13.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
361
12.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1510
53.9 IPS |
|
|
Text Classification (F32)
|
100% |
322
462.7 IPS |
|
|
Text Classification (F16)
|
100% |
354
509.2 IPS |
|
|
Text Classification (I8)
|
92% |
264
379.4 IPS |
|
|
Machine Translation (F32)
|
100% |
684
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (I8)
|
64% |
219
4.03 IPS |
