vivo I2220
Geekbench AI Score
243
Single Precision Score
19864
Half Precision Score
49009
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 10 2025 06:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2220 |
| Model ID | vivo I2220 |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
15469
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
41704
7.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
10386
168.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29457
479.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
76608
89.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
394235
461.4 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.87 IPS |
|
|
Object Detection (HP)
|
100% |
13544
1.07 KIPS |
|
|
Object Detection (Q)
|
86% |
18320
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
29207
347.0 IPS |
|
|
Face Detection (Q)
|
97% |
110363
1.32 KIPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
57964
446.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
112844
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
541
0.70 IPS |
|
|
Style Transfer (HP)
|
98% |
82049
105.8 IPS |
|
|
Style Transfer (Q)
|
98% |
420698
542.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38120
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103336
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (HP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6857
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
440
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2427
63.6 IPS |
