vivo I2401
Geekbench AI Score
2434
Single Precision Score
2485
Half Precision Score
4132
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Amar_Singh |
| Upload Date | December 19 2024 07:52 AM |
| Views | 3 |
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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
1606
298.7 IPS |
|
|
Image Classification (Q)
|
100% |
4098
762.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4882
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5598
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5338
6.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
14029
16.6 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
98% |
1446
115.1 IPS |
|
|
Object Detection (Q)
|
83% |
3339
269.7 IPS |
|
|
Face Detection (SP)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (Q)
|
95% |
7900
94.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3972
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4110
31.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8598
78.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8868
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10150
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20681
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4810
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
493
664.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
