vivo I2501
Geekbench AI Score
2766
Single Precision Score
4135
Half Precision Score
3584
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 06:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo I2501 |
| Model ID | vivo I2501 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1815
337.6 IPS |
|
|
Image Classification (HP)
|
100% |
2323
432.1 IPS |
|
|
Image Classification (Q)
|
100% |
2689
500.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6885
111.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5455
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13807
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
25164
29.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
24302
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
99% |
1858
147.4 IPS |
|
|
Object Detection (Q)
|
85% |
1836
147.8 IPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
8209
97.5 IPS |
|
|
Face Detection (Q)
|
97% |
8856
105.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7077
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9413
72.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7233
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17299
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36509
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37766
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5723
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5871
217.6 IPS |
|
|
Text Classification (SP)
|
35% |
78
758.8 IPS |
|
|
Text Classification (HP)
|
35% |
79
721.0 IPS |
|
|
Text Classification (Q)
|
33% |
62
691.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
48% |
608
23.3 IPS |
