vivo V2454A
Geekbench AI Score
737
Single Precision Score
29073
Half Precision Score
72513
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 11 2026 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo V2454A |
| Model ID | vivo V2454A |
| 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 | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
21493
4.00 KIPS |
|
|
Image Classification (Q)
|
96% |
50909
9.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
13724
222.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
53301
866.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
125144
146.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
484646
567.3 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
20439
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
31325
2.52 KIPS |
|
|
Face Detection (SP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
42517
505.2 IPS |
|
|
Face Detection (Q)
|
97% |
159419
1.90 KIPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
84587
651.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
181689
1.69 KIPS |
|
|
Style Transfer (SP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (HP)
|
100% |
93365
120.0 IPS |
|
|
Style Transfer (Q)
|
98% |
491093
633.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55798
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136398
5.05 KIPS |
|
|
Text Classification (SP)
|
100% |
662
883.1 IPS |
|
|
Text Classification (HP)
|
100% |
4458
5.95 KIPS |
|
|
Text Classification (Q)
|
93% |
11943
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6847
117.9 IPS |
|
|
Machine Translation (Q)
|
56% |
4211
108.5 IPS |
