Vivo X90 Pro+
Geekbench AI Score
354
Single Precision Score
351
Half Precision Score
735
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Vivo X90 Pro+ |
| Model ID | vivo V2227A |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (Q)
|
99% |
548
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
528
8.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
409
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
373
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1405
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
529
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
533
6.34 IPS |
|
|
Face Detection (Q)
|
97% |
1027
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
451
3.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1017
9.23 IPS |
|
|
Style Transfer (SP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
1697
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
236
8.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
807
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.7 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.3 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.63 IPS |
