vivo V2405A
Geekbench AI Score
1284
Single Precision Score
1701
Half Precision Score
1346
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:24 AM |
| Views | 3 |
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 | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
974
181.1 IPS |
|
|
Image Classification (Q)
|
97% |
614
114.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2274
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9410
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15934
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15385
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
83% |
690
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (Q)
|
96% |
3308
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4312
33.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5561
43.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4186
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14182
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24778
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24451
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2375
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2194
81.3 IPS |
|
|
Text Classification (SP)
|
35% |
22
197.0 IPS |
|
|
Text Classification (HP)
|
29% |
12
212.3 IPS |
|
|
Text Classification (Q)
|
32% |
16
209.2 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.47 IPS |
