vivo V2413
Geekbench AI Score
1786
Single Precision Score
1760
Half Precision Score
2541
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 07:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1117
207.7 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (Q)
|
100% |
1973
367.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2175
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2773
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
5424
6.43 IPS |
|
|
Object Detection (SP)
|
98% |
1263
100.5 IPS |
|
|
Object Detection (HP)
|
98% |
1201
95.6 IPS |
|
|
Object Detection (Q)
|
83% |
1888
152.5 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (Q)
|
95% |
4287
51.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3263
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3039
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3897
35.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5845
7.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5855
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
10558
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1326
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1315
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2523
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
565
753.7 IPS |
|
|
Text Classification (HP)
|
99% |
560
747.6 IPS |
|
|
Text Classification (Q)
|
88% |
963
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
596
21.2 IPS |
