vivo V2366GA
Geekbench AI Score
321
Single Precision Score
14436
Half Precision Score
36391
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2366GA |
| Model ID | vivo V2366GA |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
14301
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
35177
6.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
10220
165.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27643
449.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
76537
89.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
390433
457.0 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
13571
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
17290
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (HP)
|
100% |
30181
358.6 IPS |
|
|
Face Detection (Q)
|
97% |
103525
1.23 KIPS |
|
|
Depth Estimation (SP)
|
100% |
444
3.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
55593
428.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
110743
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
24% |
3668
111.0 IPS |
|
|
Style Transfer (Q)
|
98% |
301354
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37874
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
97338
3.61 KIPS |
|
|
Text Classification (SP)
|
100% |
208
278.2 IPS |
|
|
Text Classification (HP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
30% |
275
55.3 IPS |
