vivo V2408A
Geekbench AI Score
1018
Single Precision Score
1650
Half Precision Score
1531
Quantized Score
Geekbench AI 1.1.0-Beta2 Corporate for Android AArch64
Result Information
| User | wudi890 |
| Upload Date | January 15 2025 08:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
676
125.6 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
99% |
695
129.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1644
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
1822
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (Q)
|
86% |
903
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (Q)
|
97% |
3502
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1184
9.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
3069
23.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2525
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3758
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
8192
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8223
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1440
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (HP)
|
100% |
436
582.1 IPS |
|
|
Text Classification (Q)
|
91% |
672
903.5 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
57% |
536
13.1 IPS |
