vivo V2408A
Geekbench AI Score
441
Single Precision Score
26739
Half Precision Score
59538
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 07:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2408A |
| Model ID | vivo V2408A |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
20238
3.76 KIPS |
|
|
Image Classification (Q)
|
97% |
49656
9.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
13680
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
40481
658.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123564
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
476927
558.2 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
18779
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21682
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
39952
474.7 IPS |
|
|
Face Detection (Q)
|
97% |
131649
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
82031
632.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
139291
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98521
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
490354
632.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52572
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
127369
4.72 KIPS |
|
|
Text Classification (SP)
|
100% |
365
486.6 IPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
8025
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
618
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2930
75.5 IPS |
