vivo I2501
Geekbench AI Score
2801
Single Precision Score
4354
Half Precision Score
3794
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 06:26 PM |
| Views | 6 |
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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1555
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
100% |
1989
369.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3276
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5336
86.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5158
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13819
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24943
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24711
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
99% |
2287
181.4 IPS |
|
|
Object Detection (Q)
|
85% |
2133
171.7 IPS |
|
|
Face Detection (SP)
|
100% |
5997
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
10542
125.3 IPS |
|
|
Face Detection (Q)
|
97% |
9874
117.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7146
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9656
74.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7501
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16971
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35968
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37340
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6326
234.4 IPS |
|
|
Text Classification (SP)
|
35% |
87
844.5 IPS |
|
|
Text Classification (HP)
|
35% |
87
795.2 IPS |
|
|
Text Classification (Q)
|
33% |
78
875.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (Q)
|
48% |
839
32.2 IPS |
