Vivo X90 Pro+
Geekbench AI Score
1967
Single Precision Score
1975
Half Precision Score
3086
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 12:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
1457
270.9 IPS |
|
|
Image Classification (Q)
|
100% |
2394
445.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2749
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2763
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
6104
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
1408
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
1544
122.9 IPS |
|
|
Object Detection (Q)
|
83% |
2337
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
5433
64.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3069
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2958
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5036
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6732
8.74 IPS |
|
|
Style Transfer (HP)
|
89% |
6506
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
12966
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3310
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.5 IPS |
|
|
Text Classification (HP)
|
99% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1087
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
655
23.3 IPS |
