vivo I2501
Geekbench AI Score
2194
Single Precision Score
3451
Half Precision Score
2941
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 11:24 AM |
| Views | 5 |
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% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (Q)
|
100% |
2042
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5595
90.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4936
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10140
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
18110
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17485
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
99% |
1590
126.1 IPS |
|
|
Object Detection (Q)
|
85% |
1585
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
9021
107.2 IPS |
|
|
Face Detection (Q)
|
97% |
8102
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5279
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7497
57.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5626
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12488
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25804
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28152
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4431
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4715
174.8 IPS |
|
|
Text Classification (SP)
|
35% |
61
589.8 IPS |
|
|
Text Classification (HP)
|
35% |
66
599.4 IPS |
|
|
Text Classification (Q)
|
33% |
51
568.5 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
48% |
562
21.6 IPS |
