vivo V2413
Geekbench AI Score
1412
Single Precision Score
9301
Half Precision Score
13035
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1143
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
5531
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
13493
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4616
74.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2090
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9891
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20986
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
87169
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (HP)
|
100% |
5598
444.0 IPS |
|
|
Object Detection (Q)
|
86% |
6910
555.9 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
14843
176.4 IPS |
|
|
Face Detection (Q)
|
97% |
15655
186.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1460
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21483
165.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
37849
359.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4302
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
66963
86.1 IPS |
|
|
Style Transfer (Q)
|
98% |
238913
308.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12812
473.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37803
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
135
180.3 IPS |
|
|
Text Classification (HP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2705
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (HP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (Q)
|
60% |
576
13.0 IPS |
