vivo V2413
Geekbench AI Score
2003
Single Precision Score
1997
Half Precision Score
2871
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 03:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2413 |
| Model ID | vivo V2413 |
| 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 | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (Q)
|
100% |
2335
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2995
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
5886
6.98 IPS |
|
|
Object Detection (SP)
|
98% |
1295
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
1355
107.8 IPS |
|
|
Object Detection (Q)
|
83% |
1959
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
4800
57.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3575
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3540
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4632
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6568
8.53 IPS |
|
|
Style Transfer (HP)
|
89% |
6540
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
11827
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2897
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.5 IPS |
|
|
Text Classification (HP)
|
99% |
646
861.7 IPS |
|
|
Text Classification (Q)
|
88% |
1068
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
684
24.3 IPS |
