vivo I2405
Geekbench AI Score
1474
Single Precision Score
1753
Half Precision Score
2396
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | kailash1456 |
| Upload Date | April 17 2026 04:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1033
192.2 IPS |
|
|
Image Classification (HP)
|
100% |
929
172.8 IPS |
|
|
Image Classification (Q)
|
99% |
1709
318.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2196
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (HP)
|
92% |
4822
5.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
6150
7.21 IPS |
|
|
Object Detection (SP)
|
98% |
1052
83.7 IPS |
|
|
Object Detection (HP)
|
97% |
917
73.0 IPS |
|
|
Object Detection (Q)
|
85% |
1662
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
4272
51.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3722
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3547
32.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6815
8.85 IPS |
|
|
Style Transfer (HP)
|
88% |
6662
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
12200
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1922
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2956
109.5 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.8 IPS |
|
|
Text Classification (HP)
|
100% |
537
716.8 IPS |
|
|
Text Classification (Q)
|
93% |
565
759.2 IPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
96% |
779
13.5 IPS |
|
|
Machine Translation (Q)
|
55% |
528
14.2 IPS |
