vivo I2405
Geekbench AI Score
1721
Single Precision Score
1792
Half Precision Score
2904
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2405 |
| Model ID | vivo I2405 |
| Motherboard | sun |
| 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 | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (Q)
|
100% |
2205
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2805
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
7892
9.36 IPS |
|
|
Object Detection (SP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (HP)
|
98% |
1202
95.6 IPS |
|
|
Object Detection (Q)
|
83% |
1989
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (Q)
|
95% |
4815
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3049
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2856
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4994
45.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7970
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7902
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14920
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
775
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3570
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
596
795.5 IPS |
|
|
Text Classification (HP)
|
99% |
580
773.5 IPS |
|
|
Text Classification (Q)
|
88% |
779
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
