Vivo X90 Pro+
Geekbench AI Score
2245
Single Precision Score
2261
Half Precision Score
3532
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 12:33 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
1811
336.8 IPS |
|
|
Image Classification (Q)
|
100% |
2888
537.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3268
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3246
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
6792
8.06 IPS |
|
|
Object Detection (SP)
|
98% |
1686
134.2 IPS |
|
|
Object Detection (HP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (Q)
|
83% |
2554
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
6081
72.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3330
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3266
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5586
51.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7630
9.91 IPS |
|
|
Style Transfer (HP)
|
89% |
7507
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
14500
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3862
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
88% |
1206
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (Q)
|
50% |
806
28.6 IPS |
