vivo V2324A
Geekbench AI Score
1216
Single Precision Score
5232
Half Precision Score
4952
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 08:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2324A |
| Model ID | vivo V2324A |
| 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 | 14.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1020
189.7 IPS |
|
|
Image Classification (HP)
|
100% |
4528
842.0 IPS |
|
|
Image Classification (Q)
|
99% |
9407
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4389
71.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1851
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8922
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18198
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
74619
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (Q)
|
86% |
5854
470.9 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
12151
144.4 IPS |
|
|
Face Detection (Q)
|
97% |
11676
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
996
7.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
19126
147.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
33017
313.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2632
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
411
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2896
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11014
406.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8166
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
137
182.4 IPS |
|
|
Text Classification (HP)
|
97% |
2148
2.88 KIPS |
|
|
Text Classification (Q)
|
73% |
2065
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (Q)
|
60% |
437
9.84 IPS |
