vivo V2231
Geekbench AI Score
556
Single Precision Score
556
Half Precision Score
1167
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SamsulGG15 |
| Upload Date | October 28 2024 10:03 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2231 |
| Model ID | vivo V2231 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
100% |
807
150.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
784
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
2316
2.75 IPS |
|
|
Object Detection (SP)
|
98% |
409
32.6 IPS |
|
|
Object Detection (HP)
|
98% |
415
33.0 IPS |
|
|
Object Detection (Q)
|
83% |
733
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
534
6.34 IPS |
|
|
Face Detection (Q)
|
95% |
1605
19.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
773
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1836
16.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2115
2.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2137
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
5248
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1201
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.2 IPS |
|
|
Text Classification (HP)
|
99% |
276
369.0 IPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
