vivo V2425A
Geekbench AI Score
280
Single Precision Score
20004
Half Precision Score
48712
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 03:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2425A |
| Model ID | vivo V2425A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
15434
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
40867
7.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
10279
166.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29421
478.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
345
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
76571
89.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
394815
462.1 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
13666
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
19078
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
413
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
30551
363.0 IPS |
|
|
Face Detection (Q)
|
97% |
101764
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
325
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
57512
443.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
111579
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
587
0.75 IPS |
|
|
Style Transfer (HP)
|
98% |
82062
105.8 IPS |
|
|
Style Transfer (Q)
|
98% |
419305
540.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38246
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103084
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
189
252.4 IPS |
|
|
Text Classification (HP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6847
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
371
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2472
64.8 IPS |
