vivo I2009
Geekbench AI Score
1032
Single Precision Score
1529
Half Precision Score
1376
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 07:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2009 |
| Model ID | vivo I2009 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (HP)
|
100% |
1150
213.9 IPS |
|
|
Image Classification (Q)
|
99% |
1098
204.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1764
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4954
5.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
8387
9.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
8370
9.80 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
99% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
85% |
826
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
2023
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2715
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3775
29.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3004
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6143
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
12132
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11949
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1285
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1930
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1792
66.4 IPS |
|
|
Text Classification (SP)
|
35% |
34
329.7 IPS |
|
|
Text Classification (HP)
|
35% |
39
358.3 IPS |
|
|
Text Classification (Q)
|
35% |
38
349.5 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (HP)
|
97% |
350
6.06 IPS |
|
|
Machine Translation (Q)
|
64% |
274
5.62 IPS |
