vivo V2408A
Geekbench AI Score
422
Single Precision Score
26547
Half Precision Score
58868
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 08:01 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
19782
3.68 KIPS |
|
|
Image Classification (Q)
|
97% |
46133
8.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
13523
219.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
40212
653.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
122758
143.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
474568
555.5 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
18328
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
21292
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
39899
474.1 IPS |
|
|
Face Detection (Q)
|
97% |
131626
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
81266
626.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
137541
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
1014
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98527
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
490071
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52800
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129006
4.78 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.6 IPS |
|
|
Text Classification (HP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
8028
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4380
75.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2902
74.8 IPS |
