vivo V2405A
Geekbench AI Score
1079
Single Precision Score
1321
Half Precision Score
1242
Quantized Score
Geekbench AI 1.1.0-Beta2 Corporate for Android AArch64
Result Information
| User | wudi890 |
| Upload Date | January 15 2025 08:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2405A |
| Model ID | vivo V2405A |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 14.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.2 IPS |
|
|
Image Classification (Q)
|
99% |
627
117.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
1506
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
588
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
2274
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1530
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1970
15.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1604
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4552
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
6572
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6598
8.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
914
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.6 IPS |
|
|
Text Classification (HP)
|
100% |
708
945.5 IPS |
|
|
Text Classification (Q)
|
91% |
979
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
552
13.5 IPS |
