Vivo X90 Pro+
Geekbench AI Score
374
Single Precision Score
357
Half Precision Score
748
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 12:53 PM |
| Views | 2 |
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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
99% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
542
8.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
440
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1498
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
87% |
556
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
546
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
550
6.54 IPS |
|
|
Face Detection (Q)
|
97% |
1087
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
594
4.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1324
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
756
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1696
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
804
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
295
394.0 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.2 IPS |
|
|
Text Classification (Q)
|
91% |
332
446.2 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.26 IPS |
