vivo V2426A
Geekbench AI Score
2351
Single Precision Score
2342
Half Precision Score
3367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2426A |
| Model ID | vivo V2426A |
| 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 | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.3 IPS |
|
|
Image Classification (Q)
|
100% |
2592
482.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2844
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3735
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3733
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
7270
8.62 IPS |
|
|
Object Detection (SP)
|
98% |
1558
124.0 IPS |
|
|
Object Detection (HP)
|
98% |
1482
117.9 IPS |
|
|
Object Detection (Q)
|
83% |
2328
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3295
39.1 IPS |
|
|
Face Detection (Q)
|
95% |
5312
63.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3948
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3910
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5447
49.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8009
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7998
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14393
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3417
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1330
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (Q)
|
50% |
795
28.2 IPS |
