Vivo X90 Pro+
Geekbench AI Score
637
Single Precision Score
850
Half Precision Score
848
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
435
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
744
138.4 IPS |
|
|
Image Classification (Q)
|
96% |
663
123.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1087
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
918
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
87% |
591
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
1952
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
957
7.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
1820
14.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1487
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5715
7.35 IPS |
|
|
Style Transfer (Q)
|
98% |
5621
7.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
281
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
213
7.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
211
7.82 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.8 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.8 IPS |
|
|
Text Classification (Q)
|
91% |
428
575.1 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.20 IPS |
