vivo I2405
Geekbench AI Score
1938
Single Precision Score
1944
Half Precision Score
3080
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 02:09 AM |
| Views | 3 |
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 | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (Q)
|
100% |
2330
433.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3411
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3518
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
8487
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1300
103.4 IPS |
|
|
Object Detection (HP)
|
98% |
1307
104.0 IPS |
|
|
Object Detection (Q)
|
83% |
2010
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
5497
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3001
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2908
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5692
52.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8992
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8968
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15282
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3405
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (HP)
|
99% |
586
782.0 IPS |
|
|
Text Classification (Q)
|
88% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
