vivo V2454DA
Geekbench AI Score
2789
Single Precision Score
2760
Half Precision Score
4776
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 04:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2454DA |
| Model ID | vivo V2454DA |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (Q)
|
100% |
4262
792.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4997
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5398
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
5335
6.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
13515
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1871
148.9 IPS |
|
|
Object Detection (HP)
|
98% |
1750
139.3 IPS |
|
|
Object Detection (Q)
|
83% |
3897
314.8 IPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4414
52.5 IPS |
|
|
Face Detection (Q)
|
95% |
9227
110.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4459
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4562
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
9603
88.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11390
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11564
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24401
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2338
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5551
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
