vivo I2401
Geekbench AI Score
1016
Single Precision Score
1530
Half Precision Score
1549
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 10:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
679
126.2 IPS |
|
|
Image Classification (HP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (Q)
|
99% |
959
178.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1398
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1816
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
1810
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
86% |
984
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
3086
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1173
9.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
3109
24.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2544
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3740
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
8228
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8228
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
570
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1442
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.3 IPS |
|
|
Text Classification (HP)
|
100% |
429
573.3 IPS |
|
|
Text Classification (Q)
|
91% |
671
901.2 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
535
13.1 IPS |
