vivo V2405A
Geekbench AI Score
2118
Single Precision Score
2099
Half Precision Score
3028
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:52 AM |
| 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 | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (Q)
|
100% |
2326
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2549
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3226
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
6355
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1424
113.3 IPS |
|
|
Object Detection (HP)
|
98% |
1424
113.3 IPS |
|
|
Object Detection (Q)
|
83% |
2082
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
4766
56.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3571
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3516
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4921
45.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7105
9.22 IPS |
|
|
Style Transfer (HP)
|
89% |
7191
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
12836
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3177
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
708
945.3 IPS |
|
|
Text Classification (HP)
|
99% |
707
943.4 IPS |
|
|
Text Classification (Q)
|
88% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
