vivo V2408A
Geekbench AI Score
459
Single Precision Score
26788
Half Precision Score
59872
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 11:59 AM |
| Views | 3 |
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% |
20072
3.73 KIPS |
|
|
Image Classification (Q)
|
97% |
48693
9.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
13465
218.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
40456
657.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123526
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
476089
557.2 IPS |
|
|
Object Detection (SP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
18721
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21538
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
40299
478.8 IPS |
|
|
Face Detection (Q)
|
97% |
132953
1.59 KIPS |
|
|
Depth Estimation (SP)
|
100% |
605
4.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
83512
643.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
142093
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1092
1.40 IPS |
|
|
Style Transfer (HP)
|
98% |
98695
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
491477
633.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52933
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133227
4.94 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.4 IPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7969
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2973
76.6 IPS |
