Vivo X90 Pro+
Geekbench AI Score
2121
Single Precision Score
2072
Half Precision Score
3077
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:22 AM |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
1565
291.0 IPS |
|
|
Image Classification (Q)
|
100% |
2491
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2759
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6851
8.13 IPS |
|
|
Object Detection (SP)
|
98% |
1677
133.5 IPS |
|
|
Object Detection (HP)
|
98% |
1506
119.9 IPS |
|
|
Object Detection (Q)
|
83% |
1664
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
5502
65.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3021
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2970
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5627
51.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7087
9.20 IPS |
|
|
Style Transfer (HP)
|
89% |
7105
9.22 IPS |
|
|
Style Transfer (Q)
|
98% |
14482
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3732
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
715
953.8 IPS |
|
|
Text Classification (HP)
|
99% |
715
953.8 IPS |
|
|
Text Classification (Q)
|
88% |
844
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
