vivo I2401
Geekbench AI Score
1957
Single Precision Score
2225
Half Precision Score
3691
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 07:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
1489
276.9 IPS |
|
|
Image Classification (Q)
|
100% |
2506
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4085
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4566
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4675
5.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
12075
14.3 IPS |
|
|
Object Detection (SP)
|
98% |
1495
119.0 IPS |
|
|
Object Detection (HP)
|
98% |
1490
118.6 IPS |
|
|
Object Detection (Q)
|
83% |
3302
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (Q)
|
95% |
7929
94.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3833
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7099
65.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8858
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8786
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18214
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4309
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (HP)
|
99% |
614
819.5 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
