vivo V2413
Geekbench AI Score
1767
Single Precision Score
1771
Half Precision Score
2551
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 03:47 PM |
| Views | 2 |
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% |
1180
219.4 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (Q)
|
100% |
1976
367.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2200
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2786
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2787
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
5441
6.45 IPS |
|
|
Object Detection (SP)
|
98% |
1207
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1215
96.7 IPS |
|
|
Object Detection (Q)
|
83% |
1885
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (Q)
|
95% |
4305
51.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2932
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2922
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3924
35.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5792
7.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5762
7.48 IPS |
|
|
Style Transfer (Q)
|
98% |
10427
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2541
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
567
756.7 IPS |
|
|
Text Classification (HP)
|
99% |
563
751.7 IPS |
|
|
Text Classification (Q)
|
88% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.6 IPS |
