vivo V2419A
Geekbench AI Score
2265
Single Precision Score
2266
Half Precision Score
3287
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2419A |
| Model ID | vivo V2419A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
100% |
2569
477.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2861
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3568
4.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
6586
7.81 IPS |
|
|
Object Detection (SP)
|
98% |
1530
121.8 IPS |
|
|
Object Detection (HP)
|
98% |
1514
120.5 IPS |
|
|
Object Detection (Q)
|
83% |
2370
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (Q)
|
95% |
5175
61.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3730
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3668
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5321
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7618
9.89 IPS |
|
|
Style Transfer (HP)
|
89% |
7607
9.88 IPS |
|
|
Style Transfer (Q)
|
98% |
13888
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3425
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1321
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
743
26.4 IPS |
