vivo X200 Ultra
Geekbench AI Score
440
Single Precision Score
442
Half Precision Score
978
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | SpringStorm |
| Upload Date | February 28 2026 10:30 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
99% |
611
114.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
636
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
455
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1671
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (Q)
|
87% |
727
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (HP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (Q)
|
97% |
1507
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
574
4.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1325
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1031
1.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1030
1.32 IPS |
|
|
Style Transfer (Q)
|
98% |
2731
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1074
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.4 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.3 IPS |
|
|
Text Classification (Q)
|
91% |
614
824.8 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
475
11.6 IPS |
