vivo V2413
Geekbench AI Score
2066
Single Precision Score
2091
Half Precision Score
3014
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:14 AM |
| Views | 6 |
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% |
1368
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
1419
263.9 IPS |
|
|
Image Classification (Q)
|
100% |
2344
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2536
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
6155
7.30 IPS |
|
|
Object Detection (SP)
|
98% |
1275
101.4 IPS |
|
|
Object Detection (HP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (Q)
|
83% |
2081
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4730
56.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3568
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3537
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4809
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6942
9.01 IPS |
|
|
Style Transfer (HP)
|
89% |
7022
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
12889
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3191
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
702
936.4 IPS |
|
|
Text Classification (HP)
|
99% |
707
944.1 IPS |
|
|
Text Classification (Q)
|
88% |
1173
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
