vivo I2404
Geekbench AI Score
876
Single Precision Score
870
Half Precision Score
1858
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 08:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo I2404 |
| Model ID | vivo I2404 |
| Motherboard | k6878v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
100% |
1373
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
1580
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3411
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1273
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
3123
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1486
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3094
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3450
4.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3435
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
7851
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
829
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1840
68.2 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.2 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.0 IPS |
|
|
Text Classification (Q)
|
88% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
445
15.8 IPS |
