vivo I2401
Geekbench AI Score
2090
Single Precision Score
2098
Half Precision Score
3438
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2401 |
| Model ID | vivo I2401 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
1537
285.9 IPS |
|
|
Image Classification (Q)
|
100% |
3310
615.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3974
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4515
5.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
9725
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1224
97.4 IPS |
|
|
Object Detection (HP)
|
98% |
1198
95.3 IPS |
|
|
Object Detection (Q)
|
83% |
2695
217.7 IPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
6245
74.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3287
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3297
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6538
59.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8438
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8157
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17059
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3922
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.5 IPS |
|
|
Text Classification (HP)
|
99% |
643
858.0 IPS |
|
|
Text Classification (Q)
|
88% |
559
753.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
