vivo V2413
Geekbench AI Score
1434
Single Precision Score
9350
Half Precision Score
13019
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:26 AM |
| 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% |
1180
219.5 IPS |
|
|
Image Classification (HP)
|
100% |
5060
941.0 IPS |
|
|
Image Classification (Q)
|
99% |
14041
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4919
79.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2099
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9730
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
20916
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87352
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
900
71.3 IPS |
|
|
Object Detection (HP)
|
100% |
5649
448.1 IPS |
|
|
Object Detection (Q)
|
86% |
6967
560.4 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
14103
167.6 IPS |
|
|
Face Detection (Q)
|
97% |
15431
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1407
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21416
165.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
38239
363.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4245
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
67726
87.1 IPS |
|
|
Style Transfer (Q)
|
98% |
238060
307.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12764
471.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40511
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
145
193.4 IPS |
|
|
Text Classification (HP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2553
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (Q)
|
60% |
537
12.1 IPS |
