vivo X200 Ultra
Geekbench AI Score
1910
Single Precision Score
2581
Half Precision Score
3403
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | SpringStorm |
| Upload Date | February 28 2026 10:38 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | vivo X200 Ultra |
| Model ID | vivo V2454A |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (Q)
|
99% |
2744
511.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3063
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3696
4.31 IPS |
|
|
Pose Estimation (HP)
|
92% |
7092
8.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
8998
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1134
90.2 IPS |
|
|
Object Detection (HP)
|
97% |
1441
114.7 IPS |
|
|
Object Detection (Q)
|
85% |
2531
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
6810
81.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2961
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5385
41.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6639
61.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7725
10.0 IPS |
|
|
Style Transfer (HP)
|
88% |
8594
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17554
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3180
118.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3190
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
654
872.6 IPS |
|
|
Text Classification (HP)
|
100% |
589
786.2 IPS |
|
|
Text Classification (Q)
|
93% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1143
19.8 IPS |
|
|
Machine Translation (Q)
|
55% |
548
14.7 IPS |
