Vivo iQOO 11 Pro
Geekbench ML Score
874
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 28 2024 09:26 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Vivo iQOO 11 Pro |
| Model ID | vivo V2254A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
430
80.4 IPS |
|
|
Image Classification (F16)
|
100% |
401
75.1 IPS |
|
|
Image Classification (I8)
|
97% |
601
112.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
516
8.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
8.62 IPS |
|
|
Image Segmentation (I8)
|
98% |
658
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1106
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
1077
1.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
4739
5.74 IPS |
|
|
Object Detection (F32)
|
100% |
446
33.3 IPS |
|
|
Object Detection (F16)
|
100% |
450
33.6 IPS |
|
|
Object Detection (I8)
|
61% |
706
52.7 IPS |
|
|
Face Detection (F32)
|
100% |
939
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
993
11.8 IPS |
|
|
Face Detection (I8)
|
86% |
1464
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1048
8.12 IPS |
|
|
Depth Estimation (F16)
|
100% |
988
7.66 IPS |
|
|
Depth Estimation (I8)
|
95% |
1713
13.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2075
2.73 IPS |
|
|
Style Transfer (F16)
|
100% |
1982
2.61 IPS |
|
|
Style Transfer (I8)
|
98% |
3677
4.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
715
25.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
684
24.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1859
66.4 IPS |
|
|
Text Classification (F32)
|
100% |
523
752.0 IPS |
|
|
Text Classification (F16)
|
100% |
554
795.8 IPS |
|
|
Text Classification (I8)
|
92% |
342
491.7 IPS |
|
|
Machine Translation (F32)
|
100% |
986
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
977
18.0 IPS |
|
|
Machine Translation (I8)
|
64% |
383
7.04 IPS |
