vivo I2221
Geekbench AI Score
1505
Single Precision Score
1296
Half Precision Score
2184
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 07:05 AM |
| Views | 3 |
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% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
100% |
1013
188.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2067
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3048
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6353
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1271
101.1 IPS |
|
|
Object Detection (HP)
|
98% |
465
37.0 IPS |
|
|
Object Detection (Q)
|
83% |
2004
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (Q)
|
95% |
5042
60.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2725
25.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7547
9.80 IPS |
|
|
Style Transfer (HP)
|
89% |
7259
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
14039
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1450
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3396
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.4 IPS |
|
|
Text Classification (HP)
|
99% |
254
338.9 IPS |
|
|
Text Classification (Q)
|
88% |
507
684.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
50% |
587
20.8 IPS |
