vivo V2454DA
Geekbench AI Score
2327
Single Precision Score
2147
Half Precision Score
3551
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 03:12 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% |
1249
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
100% |
688
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1934
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4127
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4454
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4422
5.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
11995
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1429
113.7 IPS |
|
|
Object Detection (HP)
|
98% |
1491
118.6 IPS |
|
|
Object Detection (Q)
|
83% |
3487
281.7 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
7991
95.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3756
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3917
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8317
76.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10038
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9955
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20587
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4817
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
