Vivo X90
Geekbench ML Score
842
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 18 2024 03:53 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Vivo X90 |
| Model ID | vivo V2241A |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
281
52.6 IPS |
|
|
Image Classification (F16)
|
100% |
263
49.2 IPS |
|
|
Image Classification (I8)
|
97% |
270
50.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1080
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1206
20.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1215
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
740
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
1125
1.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
1116
1.35 IPS |
|
|
Object Detection (F32)
|
100% |
369
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
409
30.6 IPS |
|
|
Object Detection (I8)
|
62% |
412
30.8 IPS |
|
|
Face Detection (F32)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (F16)
|
98% |
1944
23.1 IPS |
|
|
Face Detection (I8)
|
86% |
1787
21.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1368
10.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1616
12.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1566
12.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3633
4.78 IPS |
|
|
Style Transfer (F16)
|
100% |
5141
6.76 IPS |
|
|
Style Transfer (I8)
|
98% |
5125
6.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
725
25.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
863
30.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
866
30.9 IPS |
|
|
Text Classification (F32)
|
100% |
286
410.7 IPS |
|
|
Text Classification (F16)
|
100% |
276
396.6 IPS |
|
|
Text Classification (I8)
|
92% |
425
611.2 IPS |
|
|
Machine Translation (F32)
|
100% |
434
7.99 IPS |
|
|
Machine Translation (F16)
|
100% |
440
8.10 IPS |
|
|
Machine Translation (I8)
|
64% |
436
8.03 IPS |
