vivo X200 Ultra
Geekbench AI Score
422
Single Precision Score
27573
Half Precision Score
67693
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | SpringStorm |
| Upload Date | February 28 2026 10:35 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
248
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
20193
3.76 KIPS |
|
|
Image Classification (Q)
|
96% |
50066
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13653
221.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
50278
817.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
123161
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
479074
560.7 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
19240
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
28880
2.32 KIPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
38807
461.1 IPS |
|
|
Face Detection (Q)
|
97% |
132758
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
82657
636.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
172091
1.60 KIPS |
|
|
Style Transfer (SP)
|
100% |
960
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
92811
119.3 IPS |
|
|
Style Transfer (Q)
|
98% |
483848
623.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53605
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132696
4.92 KIPS |
|
|
Text Classification (SP)
|
100% |
362
483.2 IPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
11934
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5545
95.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3314
85.4 IPS |
