vivo I2221
Geekbench AI Score
1474
Single Precision Score
1326
Half Precision Score
1919
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | AbhishekA1 |
| Upload Date | June 01 2025 06:36 AM |
| Views | 8 |
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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (Q)
|
100% |
1121
208.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1492
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2190
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2753
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
4041
4.79 IPS |
|
|
Object Detection (SP)
|
98% |
808
64.3 IPS |
|
|
Object Detection (HP)
|
98% |
1441
114.6 IPS |
|
|
Object Detection (Q)
|
83% |
1922
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
5424
64.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2318
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3058
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4364
40.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7531
9.78 IPS |
|
|
Style Transfer (HP)
|
89% |
7672
9.96 IPS |
|
|
Style Transfer (Q)
|
98% |
5012
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
784
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1305
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.7 IPS |
|
|
Text Classification (HP)
|
99% |
227
303.6 IPS |
|
|
Text Classification (Q)
|
88% |
570
768.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
