vivo I2401
Geekbench AI Score
1586
Single Precision Score
2406
Half Precision Score
2029
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1008
187.4 IPS |
|
|
Image Classification (HP)
|
100% |
1434
266.6 IPS |
|
|
Image Classification (Q)
|
100% |
1401
260.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3027
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
13768
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13514
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.0 IPS |
|
|
Object Detection (HP)
|
99% |
1245
98.8 IPS |
|
|
Object Detection (Q)
|
85% |
1208
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5539
65.8 IPS |
|
|
Face Detection (Q)
|
97% |
5047
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3863
29.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5507
42.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
4240
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9381
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20128
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20495
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3259
120.8 IPS |
|
|
Text Classification (SP)
|
35% |
44
427.5 IPS |
|
|
Text Classification (HP)
|
35% |
42
382.1 IPS |
|
|
Text Classification (Q)
|
33% |
33
370.1 IPS |
|
|
Machine Translation (SP)
|
100% |
580
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
48% |
363
13.9 IPS |
