vivo V2405A
Geekbench AI Score
2133
Single Precision Score
2119
Half Precision Score
3037
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 02:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
100% |
2434
452.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2653
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
6346
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1394
110.9 IPS |
|
|
Object Detection (HP)
|
98% |
1389
110.5 IPS |
|
|
Object Detection (Q)
|
83% |
1969
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (Q)
|
95% |
4786
57.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3565
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3587
27.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4956
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7173
9.31 IPS |
|
|
Style Transfer (HP)
|
89% |
7165
9.30 IPS |
|
|
Style Transfer (Q)
|
98% |
12931
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3176
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
714
952.4 IPS |
|
|
Text Classification (HP)
|
99% |
708
945.3 IPS |
|
|
Text Classification (Q)
|
88% |
1244
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
683
24.2 IPS |
