vivo X200 Pro vivo V2405A
Geekbench AI Score
2447
Single Precision Score
2480
Half Precision Score
3653
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | craig04 |
| Upload Date | November 06 2024 08:19 AM |
| Views | 136 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1750
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
1834
341.1 IPS |
|
|
Image Classification (Q)
|
100% |
2961
550.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3249
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3781
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3802
4.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
7258
8.61 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.4 IPS |
|
|
Object Detection (HP)
|
98% |
1693
134.7 IPS |
|
|
Object Detection (Q)
|
83% |
2477
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5690
67.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4002
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4075
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5815
53.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8552
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8544
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15488
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1867
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3724
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1470
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (Q)
|
50% |
874
31.0 IPS |
