vivo I2501
Geekbench AI Score
2829
Single Precision Score
4243
Half Precision Score
3818
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 08:21 AM |
| 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% |
1582
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (Q)
|
100% |
2019
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3283
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5013
81.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7029
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13776
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24807
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24754
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (HP)
|
99% |
2152
170.7 IPS |
|
|
Object Detection (Q)
|
85% |
2035
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
6057
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
10598
125.9 IPS |
|
|
Face Detection (Q)
|
97% |
9980
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7165
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9839
76.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7863
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16684
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34694
44.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37242
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3764
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6212
230.2 IPS |
|
|
Text Classification (SP)
|
35% |
86
839.0 IPS |
|
|
Text Classification (HP)
|
35% |
94
856.5 IPS |
|
|
Text Classification (Q)
|
33% |
76
847.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (Q)
|
48% |
668
25.6 IPS |
