vivo I2501
Geekbench AI Score
372
Single Precision Score
358
Half Precision Score
818
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 06:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
99% |
584
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
561
9.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
410
0.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
1561
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
87% |
663
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.23 IPS |
|
|
Face Detection (HP)
|
100% |
610
7.25 IPS |
|
|
Face Detection (Q)
|
97% |
1412
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
528
4.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1218
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
880
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2103
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
757
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.2 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.1 IPS |
|
|
Text Classification (Q)
|
91% |
439
590.3 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.07 IPS |
