vivo V2408A
Geekbench AI Score
521
Single Precision Score
27056
Half Precision Score
60548
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 06:28 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% |
381
70.9 IPS |
|
|
Image Classification (HP)
|
100% |
21181
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
50116
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
13688
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
41596
676.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
612
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
123682
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
477044
558.4 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
18942
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
22060
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
40765
484.4 IPS |
|
|
Face Detection (Q)
|
97% |
136229
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
83270
641.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
141832
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (HP)
|
98% |
98575
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490747
632.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52949
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133099
4.93 KIPS |
|
|
Text Classification (SP)
|
100% |
395
526.8 IPS |
|
|
Text Classification (HP)
|
100% |
3900
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8016
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4480
77.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2984
76.9 IPS |
