vivo V2366HA
Geekbench ML Score
1273
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 04:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2366HA |
| Model ID | vivo V2366HA |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
531
99.4 IPS |
|
|
Image Classification (F16)
|
100% |
635
118.8 IPS |
|
|
Image Classification (I8)
|
97% |
1275
238.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
752
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
764
12.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
828
13.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1506
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
1439
1.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
6689
8.10 IPS |
|
|
Object Detection (F32)
|
100% |
598
44.7 IPS |
|
|
Object Detection (F16)
|
100% |
581
43.4 IPS |
|
|
Object Detection (I8)
|
61% |
1142
85.3 IPS |
|
|
Face Detection (F32)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (F16)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (I8)
|
86% |
2534
30.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1463
11.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1470
11.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3215
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2458
3.23 IPS |
|
|
Style Transfer (F16)
|
100% |
2431
3.20 IPS |
|
|
Style Transfer (I8)
|
98% |
4894
6.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1047
37.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1120
40.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2357
84.2 IPS |
|
|
Text Classification (F32)
|
100% |
845
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
722
1.04 KIPS |
|
|
Text Classification (I8)
|
92% |
549
788.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1604
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1553
28.6 IPS |
|
|
Machine Translation (I8)
|
64% |
642
11.8 IPS |
