vivo I2405
Geekbench AI Score
2124
Single Precision Score
2131
Half Precision Score
3099
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 07:49 AM |
| 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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (Q)
|
100% |
1977
367.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3197
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3991
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
7719
9.15 IPS |
|
|
Object Detection (SP)
|
98% |
1417
112.8 IPS |
|
|
Object Detection (HP)
|
98% |
1415
112.6 IPS |
|
|
Object Detection (Q)
|
83% |
2165
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (Q)
|
95% |
5197
62.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3593
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3439
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5493
50.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9032
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8960
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15434
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3688
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
600
800.4 IPS |
|
|
Text Classification (HP)
|
99% |
641
854.9 IPS |
|
|
Text Classification (Q)
|
88% |
852
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
