vivo V2334
Geekbench AI Score
870
Single Precision Score
860
Half Precision Score
1626
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 05:28 PM |
| Views | 6 |
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% |
653
121.4 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
100% |
1088
202.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1203
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1303
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1309
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3358
3.98 IPS |
|
|
Object Detection (SP)
|
98% |
638
50.8 IPS |
|
|
Object Detection (HP)
|
98% |
630
50.1 IPS |
|
|
Object Detection (Q)
|
83% |
1101
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2563
30.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1232
9.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1241
9.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
2644
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3264
4.24 IPS |
|
|
Style Transfer (HP)
|
89% |
3314
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6634
8.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
559
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1541
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.7 IPS |
|
|
Text Classification (HP)
|
99% |
316
421.9 IPS |
|
|
Text Classification (Q)
|
88% |
854
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
