Vivo X90 Pro+
Geekbench AI Score
775
Single Precision Score
1064
Half Precision Score
981
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 12:39 PM |
| Views | 6 |
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% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
956
177.7 IPS |
|
|
Image Classification (Q)
|
96% |
907
169.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
835
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1180
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.3 IPS |
|
|
Object Detection (Q)
|
87% |
687
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2287
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1122
8.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1718
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2890
3.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6604
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6433
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
231
8.55 IPS |
|
|
Text Classification (SP)
|
100% |
389
518.8 IPS |
|
|
Text Classification (HP)
|
100% |
316
422.0 IPS |
|
|
Text Classification (Q)
|
91% |
457
614.6 IPS |
|
|
Machine Translation (SP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.78 IPS |
