vivo I2127
Geekbench AI Score
439
Single Precision Score
433
Half Precision Score
779
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo I2127 |
| Model ID | vivo I2127 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
718
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
822
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1042
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
888
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1193
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
83% |
434
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
608
7.23 IPS |
|
|
Face Detection (Q)
|
95% |
1186
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
798
6.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
803
6.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1116
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1482
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1485
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2837
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
419
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.1 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.9 IPS |
|
|
Text Classification (Q)
|
88% |
382
515.7 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
50% |
277
9.85 IPS |
