Vivo X90 Pro+
Geekbench AI Score
699
Single Precision Score
932
Half Precision Score
900
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
96% |
564
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
976
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
87% |
667
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
1679
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
2086
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1107
8.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1698
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2818
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
6571
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6428
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
239
8.84 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.1 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.3 IPS |
|
|
Text Classification (Q)
|
91% |
429
576.4 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.20 IPS |
