vivo V2426A
Geekbench AI Score
1474
Single Precision Score
9383
Half Precision Score
12966
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2426A |
| Model ID | vivo V2426A |
| 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 | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
4835
899.2 IPS |
|
|
Image Classification (Q)
|
99% |
14363
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4775
77.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2098
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10846
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21170
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
87886
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
5696
451.8 IPS |
|
|
Object Detection (Q)
|
86% |
7062
568.1 IPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
15251
181.2 IPS |
|
|
Face Detection (Q)
|
97% |
15221
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1474
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21639
166.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
36777
349.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4250
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
67580
86.9 IPS |
|
|
Style Transfer (Q)
|
98% |
235844
304.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2992
110.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12717
469.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37994
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
137
182.4 IPS |
|
|
Text Classification (HP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2765
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (Q)
|
60% |
518
11.7 IPS |
