vivo V2454A
Geekbench AI Score
561
Single Precision Score
27342
Half Precision Score
61626
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 03:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
20781
3.86 KIPS |
|
|
Image Classification (Q)
|
97% |
50281
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
13628
220.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
41410
673.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
613
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
123682
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
478851
560.5 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
19482
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22536
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
42399
503.8 IPS |
|
|
Face Detection (Q)
|
97% |
148107
1.77 KIPS |
|
|
Depth Estimation (SP)
|
100% |
773
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
84205
648.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
145071
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1349
1.73 IPS |
|
|
Style Transfer (HP)
|
98% |
98844
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491914
634.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53936
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135507
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.8 IPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
8073
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (Q)
|
56% |
3041
78.3 IPS |
