vivo V2413
Geekbench AI Score
2392
Single Precision Score
2416
Half Precision Score
3496
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2413 |
| Model ID | vivo V2413 |
| 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 | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.7 IPS |
|
|
Image Classification (Q)
|
100% |
2583
480.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2836
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3662
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3655
4.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
7267
8.62 IPS |
|
|
Object Detection (SP)
|
98% |
1621
129.0 IPS |
|
|
Object Detection (HP)
|
98% |
1571
125.0 IPS |
|
|
Object Detection (Q)
|
83% |
2379
192.2 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
5585
66.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4050
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4045
31.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5820
53.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8470
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8464
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15504
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3562
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1383
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (Q)
|
50% |
868
30.8 IPS |
