vivo I2401
Geekbench AI Score
2060
Single Precision Score
2096
Half Precision Score
3477
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2025 01:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (Q)
|
100% |
3091
574.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3797
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4166
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4620
5.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
12026
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1402
111.6 IPS |
|
|
Object Detection (HP)
|
98% |
1217
96.8 IPS |
|
|
Object Detection (Q)
|
83% |
2119
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
6409
76.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3249
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3341
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7082
64.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8355
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8273
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18075
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3436
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.4 IPS |
|
|
Text Classification (HP)
|
99% |
715
954.0 IPS |
|
|
Text Classification (Q)
|
88% |
696
938.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
