vivo V2405A
Geekbench AI Score
1035
Single Precision Score
1228
Half Precision Score
1153
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
730
135.8 IPS |
|
|
Image Classification (HP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (Q)
|
99% |
803
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1527
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1088
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
693
54.9 IPS |
|
|
Object Detection (Q)
|
83% |
694
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1289
9.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1322
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3880
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
5134
6.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5111
6.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
857
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
527
704.0 IPS |
|
|
Text Classification (HP)
|
100% |
527
702.8 IPS |
|
|
Text Classification (Q)
|
91% |
724
972.9 IPS |
|
|
Machine Translation (SP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
57% |
498
12.2 IPS |
