vivo V2334
Geekbench AI Score
884
Single Precision Score
880
Half Precision Score
1731
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 07:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2334 |
| Model ID | vivo V2334 |
| 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% |
655
121.8 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.1 IPS |
|
|
Image Classification (Q)
|
100% |
1224
227.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1306
1.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
3395
4.03 IPS |
|
|
Object Detection (SP)
|
98% |
637
50.7 IPS |
|
|
Object Detection (HP)
|
98% |
643
51.2 IPS |
|
|
Object Detection (Q)
|
83% |
1121
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2587
30.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1233
9.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
2686
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3284
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
3268
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
7244
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1864
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.4 IPS |
|
|
Text Classification (HP)
|
99% |
365
486.9 IPS |
|
|
Text Classification (Q)
|
88% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
