vivo V2309A
Geekbench AI Score
1222
Single Precision Score
5242
Half Precision Score
4979
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2309A |
| Model ID | vivo V2309A |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1041
193.5 IPS |
|
|
Image Classification (HP)
|
100% |
4547
845.6 IPS |
|
|
Image Classification (Q)
|
99% |
9536
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1821
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9046
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18332
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
74758
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
4747
376.5 IPS |
|
|
Object Detection (Q)
|
86% |
5803
466.7 IPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
12297
146.1 IPS |
|
|
Face Detection (Q)
|
97% |
11713
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
19070
146.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
33810
321.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2630
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
413
6.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3029
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11048
408.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8319
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
136
181.1 IPS |
|
|
Text Classification (HP)
|
97% |
2159
2.89 KIPS |
|
|
Text Classification (Q)
|
73% |
2092
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (Q)
|
60% |
437
9.83 IPS |
