vivo V2454A
Geekbench AI Score
3014
Single Precision Score
2986
Half Precision Score
5399
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2400
446.3 IPS |
|
|
Image Classification (HP)
|
100% |
2239
416.3 IPS |
|
|
Image Classification (Q)
|
100% |
4671
868.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2637
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5567
90.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5648
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5507
6.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
13681
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1854
147.5 IPS |
|
|
Object Detection (HP)
|
98% |
1883
149.8 IPS |
|
|
Object Detection (Q)
|
83% |
4231
341.8 IPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
95% |
11030
131.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4712
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4791
37.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11351
104.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11820
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11785
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26230
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6816
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
958
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1006
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.1 IPS |
