vivo I2405
Geekbench AI Score
2346
Single Precision Score
2460
Half Precision Score
3963
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 07:16 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.5 IPS |
|
|
Image Classification (Q)
|
100% |
3317
616.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3543
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
9828
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1389
110.5 IPS |
|
|
Object Detection (HP)
|
98% |
1633
130.0 IPS |
|
|
Object Detection (Q)
|
83% |
2807
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
7016
83.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4035
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4062
31.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7243
66.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10702
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10980
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19810
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4953
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.7 IPS |
|
|
Text Classification (HP)
|
99% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
652
23.1 IPS |
