Vivo X90 Pro+
Geekbench AI Score
2154
Single Precision Score
2160
Half Precision Score
3336
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:34 PM |
| Views | 1 |
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% |
1717
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
1719
319.7 IPS |
|
|
Image Classification (Q)
|
100% |
2783
517.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2910
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3064
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6778
8.04 IPS |
|
|
Object Detection (SP)
|
98% |
1567
124.7 IPS |
|
|
Object Detection (HP)
|
98% |
1684
134.0 IPS |
|
|
Object Detection (Q)
|
83% |
2345
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5349
63.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3080
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3157
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5327
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7402
9.61 IPS |
|
|
Style Transfer (HP)
|
89% |
7265
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
14101
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3915
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
755
26.8 IPS |
