vivo V2366HA
Geekbench AI Score
530
Single Precision Score
15216
Half Precision Score
39093
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | yu17 |
| Upload Date | November 03 2024 11:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2366HA |
| Model ID | vivo V2366HA |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
16255
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
40000
7.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
10782
174.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29339
477.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
77138
90.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
398892
466.9 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
14681
1.16 KIPS |
|
|
Object Detection (Q)
|
86% |
19429
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
33725
400.7 IPS |
|
|
Face Detection (Q)
|
97% |
129658
1.55 KIPS |
|
|
Depth Estimation (SP)
|
100% |
669
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
55909
430.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
113359
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
1071
1.38 IPS |
|
|
Style Transfer (HP)
|
24% |
3697
111.9 IPS |
|
|
Style Transfer (Q)
|
98% |
306325
395.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40065
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104790
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
472
630.5 IPS |
|
|
Text Classification (HP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6794
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (Q)
|
30% |
286
57.4 IPS |
