vivo I2405
Geekbench AI Score
738
Single Precision Score
1210
Half Precision Score
977
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kailash1456 |
| Upload Date | April 17 2026 04:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
100% |
756
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1501
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3151
3.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
5682
6.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
5379
6.30 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
99% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
85% |
598
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (Q)
|
97% |
2441
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1724
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2907
22.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
2129
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3939
5.06 IPS |
|
|
Style Transfer (HP)
|
100% |
8579
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8551
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
35% |
26
250.3 IPS |
|
|
Text Classification (HP)
|
35% |
30
273.5 IPS |
|
|
Text Classification (Q)
|
33% |
24
270.9 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
48% |
133
5.09 IPS |
