vivo I2401
Geekbench AI Score
839
Single Precision Score
1491
Half Precision Score
1377
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2401 |
| Model ID | vivo I2401 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (Q)
|
99% |
706
131.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1173
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
1708
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
827
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
3084
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
2800
21.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2308
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3428
4.41 IPS |
|
|
Style Transfer (HP)
|
100% |
7407
9.52 IPS |
|
|
Style Transfer (Q)
|
98% |
7402
9.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1309
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.9 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.9 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.3 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
495
12.1 IPS |
