vivo I2405
Geekbench AI Score
1782
Single Precision Score
1780
Half Precision Score
2657
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 07:03 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 | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (Q)
|
100% |
2453
456.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2715
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
6277
7.44 IPS |
|
|
Object Detection (SP)
|
98% |
1146
91.2 IPS |
|
|
Object Detection (HP)
|
98% |
1267
100.9 IPS |
|
|
Object Detection (Q)
|
83% |
1710
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2762
32.8 IPS |
|
|
Face Detection (Q)
|
95% |
4340
51.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2545
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4566
41.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7321
9.50 IPS |
|
|
Style Transfer (HP)
|
89% |
7508
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
12802
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1328
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2992
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
505
673.6 IPS |
|
|
Text Classification (HP)
|
99% |
564
752.7 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
427
15.2 IPS |
