vivo X200 Ultra
Geekbench AI Score
1647
Single Precision Score
2520
Half Precision Score
2110
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | SpringStorm |
| Upload Date | February 28 2026 10:21 AM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1007
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (Q)
|
100% |
1342
249.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2609
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7774
9.07 IPS |
|
|
Pose Estimation (HP)
|
99% |
14387
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14953
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
99% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
85% |
1255
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (Q)
|
97% |
4601
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3895
30.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5459
42.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
4455
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10129
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22380
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22317
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3460
128.2 IPS |
|
|
Text Classification (SP)
|
35% |
44
426.7 IPS |
|
|
Text Classification (HP)
|
35% |
45
408.9 IPS |
|
|
Text Classification (Q)
|
33% |
42
473.1 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
48% |
401
15.4 IPS |
