vivo I2217
Geekbench AI Score
714
Single Precision Score
1223
Half Precision Score
1083
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 03:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2217 |
| Model ID | vivo I2217 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.0 IPS |
|
|
Image Classification (Q)
|
99% |
786
146.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1547
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3543
4.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
6518
7.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
6401
7.50 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
99% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
85% |
530
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
2276
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1720
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2939
22.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
2530
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4169
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
8728
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8616
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
735
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1578
58.5 IPS |
|
|
Text Classification (SP)
|
35% |
27
261.7 IPS |
|
|
Text Classification (HP)
|
35% |
34
307.7 IPS |
|
|
Text Classification (Q)
|
35% |
34
306.6 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
97% |
352
6.08 IPS |
|
|
Machine Translation (Q)
|
64% |
203
4.16 IPS |
