vivo I2401
Geekbench AI Score
472
Single Precision Score
473
Half Precision Score
1042
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
99% |
731
136.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
1817
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
755
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
97% |
1561
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
609
4.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1395
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1098
1.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1093
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2845
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.8 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.3 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.6 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
496
12.1 IPS |
