vivo I2405
Geekbench AI Score
1262
Single Precision Score
1976
Half Precision Score
1582
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 02:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.8 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.1 IPS |
|
|
Image Classification (Q)
|
100% |
1204
223.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2252
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
10003
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9758
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
99% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
85% |
1008
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5012
59.6 IPS |
|
|
Face Detection (Q)
|
97% |
4187
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3157
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4923
38.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
4001
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7114
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
15610
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15074
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1414
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2628
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2571
95.3 IPS |
|
|
Text Classification (SP)
|
35% |
41
402.9 IPS |
|
|
Text Classification (HP)
|
35% |
45
406.8 IPS |
|
|
Text Classification (Q)
|
33% |
27
296.9 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
48% |
211
8.09 IPS |
