vivo I2401
Geekbench AI Score
457
Single Precision Score
26888
Half Precision Score
60222
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
20068
3.73 KIPS |
|
|
Image Classification (Q)
|
97% |
49097
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
13582
220.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
40691
661.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123600
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
476616
557.9 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
18781
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21663
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
40734
484.0 IPS |
|
|
Face Detection (Q)
|
97% |
136022
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
603
4.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
83519
643.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
142604
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1092
1.40 IPS |
|
|
Style Transfer (HP)
|
98% |
98772
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
491069
633.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53564
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133887
4.96 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.5 IPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
7991
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4432
76.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2985
76.9 IPS |
