vivo V2408A
Geekbench AI Score
464
Single Precision Score
26909
Half Precision Score
60293
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 07:12 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% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
20281
3.77 KIPS |
|
|
Image Classification (Q)
|
97% |
49469
9.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
13631
221.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
40389
656.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
123536
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
476498
557.7 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
18771
1.49 KIPS |
|
|
Object Detection (Q)
|
85% |
21760
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
717
8.52 IPS |
|
|
Face Detection (HP)
|
100% |
40887
485.8 IPS |
|
|
Face Detection (Q)
|
97% |
136887
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
616
4.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
83316
641.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
142286
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1104
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98662
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
491325
633.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53014
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133781
4.96 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.3 IPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8071
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2966
76.4 IPS |
