vivo V2408A
Geekbench AI Score
475
Single Precision Score
26771
Half Precision Score
60140
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 02 2025 05:51 AM |
| Views | 16 |
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 | 10.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
20316
3.78 KIPS |
|
|
Image Classification (Q)
|
97% |
49068
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
13623
220.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
41011
666.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
123207
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
475709
556.8 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
18657
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21712
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (HP)
|
100% |
40558
481.9 IPS |
|
|
Face Detection (Q)
|
97% |
136701
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
616
4.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
83031
639.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
141236
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1102
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98590
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490141
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52685
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132880
4.92 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.0 IPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7953
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2978
76.7 IPS |
