vivo I2221
Geekbench AI Score
579
Single Precision Score
760
Half Precision Score
711
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 08:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.7 IPS |
|
|
Image Classification (Q)
|
96% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
741
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
938
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
934
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
87% |
446
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1379
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
826
6.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
10.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1094
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2395
3.08 IPS |
|
|
Style Transfer (HP)
|
100% |
3885
4.99 IPS |
|
|
Style Transfer (Q)
|
98% |
3824
4.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.2 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.5 IPS |
|
|
Text Classification (Q)
|
91% |
317
425.8 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.79 IPS |
