vivo I2221
Geekbench AI Score
1203
Single Precision Score
1015
Half Precision Score
1661
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2221 |
| Model ID | vivo I2221 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.3 IPS |
|
|
Image Classification (Q)
|
100% |
2161
402.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1201
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3193
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3023
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6176
7.32 IPS |
|
|
Object Detection (SP)
|
98% |
525
41.8 IPS |
|
|
Object Detection (HP)
|
98% |
501
39.9 IPS |
|
|
Object Detection (Q)
|
83% |
1841
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
1533
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
1878
22.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1405
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2571
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7746
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
3067
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4732
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1306
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.4 IPS |
|
|
Text Classification (HP)
|
99% |
327
437.0 IPS |
|
|
Text Classification (Q)
|
88% |
485
653.9 IPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
