vivo V2405A
Geekbench AI Score
1176
Single Precision Score
8997
Half Precision Score
12343
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2405A |
| Model ID | vivo V2405A |
| 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% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
4872
906.1 IPS |
|
|
Image Classification (Q)
|
99% |
11681
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4691
76.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2098
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9348
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20907
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
86695
101.6 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
5200
412.5 IPS |
|
|
Object Detection (Q)
|
86% |
6339
509.9 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13995
166.3 IPS |
|
|
Face Detection (Q)
|
97% |
15161
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
757
5.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
21248
163.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
38034
361.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2838
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
67589
86.9 IPS |
|
|
Style Transfer (Q)
|
98% |
239302
308.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2605
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12312
454.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36614
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
129
171.8 IPS |
|
|
Text Classification (HP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2428
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
60% |
497
11.2 IPS |
