vivo I2401
Geekbench AI Score
2560
Single Precision Score
2565
Half Precision Score
4281
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 10:25 AM |
| 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% |
1870
347.8 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (Q)
|
100% |
4196
780.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4963
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5685
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
5141
6.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
14086
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1456
115.9 IPS |
|
|
Object Detection (HP)
|
98% |
1457
116.0 IPS |
|
|
Object Detection (Q)
|
83% |
3296
266.2 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (Q)
|
95% |
7918
94.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4046
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4062
31.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8548
78.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10083
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10207
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20609
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4925
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
639
862.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
