vivo X200 Pro vivo V2405A
Geekbench AI Score
1436
Single Precision Score
9091
Half Precision Score
12886
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | craig04 |
| Upload Date | November 06 2024 08:33 AM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1132
210.6 IPS |
|
|
Image Classification (HP)
|
100% |
4570
849.9 IPS |
|
|
Image Classification (Q)
|
99% |
13978
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4531
73.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2045
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10522
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21645
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
88130
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
5568
441.6 IPS |
|
|
Object Detection (Q)
|
86% |
6860
551.8 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
14031
166.7 IPS |
|
|
Face Detection (Q)
|
97% |
15309
182.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1464
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22019
169.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
38113
361.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4524
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
67892
87.3 IPS |
|
|
Style Transfer (Q)
|
98% |
231134
298.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12877
475.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40258
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
136
182.0 IPS |
|
|
Text Classification (HP)
|
100% |
2371
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
2415
41.6 IPS |
|
|
Machine Translation (Q)
|
60% |
564
12.7 IPS |
