vivo I2405
Geekbench AI Score
1115
Single Precision Score
1755
Half Precision Score
1472
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:36 PM |
| Views | 2 |
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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
1026
190.8 IPS |
|
|
Image Classification (Q)
|
100% |
974
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2090
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4316
5.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
7754
9.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
7625
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
99% |
968
76.8 IPS |
|
|
Object Detection (Q)
|
85% |
918
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
2897
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (Q)
|
97% |
3596
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4944
38.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
3807
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7153
9.20 IPS |
|
|
Style Transfer (HP)
|
100% |
14876
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14579
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2541
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2534
93.9 IPS |
|
|
Text Classification (SP)
|
35% |
36
346.5 IPS |
|
|
Text Classification (HP)
|
35% |
40
367.5 IPS |
|
|
Text Classification (Q)
|
33% |
34
379.8 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
48% |
196
7.51 IPS |
