vivo I2401
Geekbench AI Score
2471
Single Precision Score
2535
Half Precision Score
4346
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 07:17 AM |
| 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 | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.9 IPS |
|
|
Image Classification (Q)
|
100% |
4321
803.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3874
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5393
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5343
6.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
14204
16.8 IPS |
|
|
Object Detection (SP)
|
98% |
1450
115.4 IPS |
|
|
Object Detection (HP)
|
98% |
1459
116.1 IPS |
|
|
Object Detection (Q)
|
83% |
3368
272.0 IPS |
|
|
Face Detection (SP)
|
100% |
3887
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3909
46.5 IPS |
|
|
Face Detection (Q)
|
95% |
7913
94.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4110
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3989
30.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8430
77.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10001
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9992
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21575
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4869
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
883
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.2 IPS |
