vivo V2419A
Geekbench AI Score
2429
Single Precision Score
2397
Half Precision Score
3574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 29 2025 04:08 PM |
| Views | 1 |
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 | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1853
344.5 IPS |
|
|
Image Classification (HP)
|
100% |
1894
352.2 IPS |
|
|
Image Classification (Q)
|
100% |
2971
552.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3123
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3577
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
6903
8.19 IPS |
|
|
Object Detection (SP)
|
98% |
1571
125.0 IPS |
|
|
Object Detection (HP)
|
98% |
1527
121.5 IPS |
|
|
Object Detection (Q)
|
83% |
2404
194.2 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (Q)
|
95% |
5577
66.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3880
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3780
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5844
53.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8214
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8183
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15177
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1851
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3698
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
828
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
828
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1441
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (Q)
|
50% |
839
29.8 IPS |
