vivo V2454DA
Geekbench AI Score
465
Single Precision Score
26809
Half Precision Score
60136
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 03:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
20035
3.73 KIPS |
|
|
Image Classification (Q)
|
97% |
48830
9.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
13503
218.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
40466
658.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
123501
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
476739
558.0 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
18747
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21662
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (HP)
|
100% |
40288
478.7 IPS |
|
|
Face Detection (Q)
|
97% |
137018
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
614
4.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
83488
643.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
142181
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1104
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98739
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
491255
633.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53548
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133318
4.94 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.0 IPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7956
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4421
76.1 IPS |
|
|
Machine Translation (Q)
|
56% |
2986
76.9 IPS |
