vivo I2401
Geekbench AI Score
1630
Single Precision Score
2564
Half Precision Score
2149
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 22 2025 01:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1081
201.1 IPS |
|
|
Image Classification (HP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (Q)
|
100% |
1646
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3746
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7718
9.01 IPS |
|
|
Pose Estimation (HP)
|
99% |
13836
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13541
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
99% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
85% |
1254
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5579
66.3 IPS |
|
|
Face Detection (Q)
|
97% |
5142
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3868
29.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5529
42.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
4355
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9440
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21256
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20249
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3310
122.7 IPS |
|
|
Text Classification (SP)
|
35% |
42
406.0 IPS |
|
|
Text Classification (HP)
|
35% |
41
376.3 IPS |
|
|
Text Classification (Q)
|
33% |
34
379.3 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
48% |
395
15.2 IPS |
