vivo I1927
Geekbench ML Score
569
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 17 2024 06:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo I1927 |
| Model ID | vivo I1927 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
254
47.6 IPS |
|
|
Image Classification (F16)
|
100% |
260
48.7 IPS |
|
|
Image Classification (I8)
|
97% |
545
102.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
6.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
370
6.18 IPS |
|
|
Image Segmentation (I8)
|
98% |
460
7.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
603
0.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
599
0.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
2798
3.39 IPS |
|
|
Object Detection (F32)
|
100% |
300
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
296
22.1 IPS |
|
|
Object Detection (I8)
|
61% |
745
55.7 IPS |
|
|
Face Detection (F32)
|
100% |
613
7.29 IPS |
|
|
Face Detection (F16)
|
100% |
631
7.50 IPS |
|
|
Face Detection (I8)
|
86% |
1705
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (F16)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (I8)
|
95% |
1371
10.6 IPS |
|
|
Style Transfer (F32)
|
100% |
955
1.26 IPS |
|
|
Style Transfer (F16)
|
100% |
955
1.26 IPS |
|
|
Style Transfer (I8)
|
98% |
2480
3.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
350
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
336
12.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1281
45.8 IPS |
|
|
Text Classification (F32)
|
100% |
323
463.9 IPS |
|
|
Text Classification (F16)
|
100% |
313
449.9 IPS |
|
|
Text Classification (I8)
|
92% |
278
400.1 IPS |
|
|
Machine Translation (F32)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
656
12.1 IPS |
|
|
Machine Translation (I8)
|
64% |
251
4.62 IPS |
