vivo I2401
Geekbench AI Score
527
Single Precision Score
27148
Half Precision Score
61037
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 17 2025 05:54 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
20884
3.88 KIPS |
|
|
Image Classification (Q)
|
97% |
50161
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
13614
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
41955
682.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
123737
144.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
477469
558.8 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
19007
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
21931
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
41598
494.3 IPS |
|
|
Face Detection (Q)
|
97% |
140977
1.68 KIPS |
|
|
Depth Estimation (SP)
|
100% |
662
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
83597
644.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
143136
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (HP)
|
98% |
98727
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
490936
633.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53357
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134831
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
430
573.5 IPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
8066
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3023
77.9 IPS |
