Vivo X90 Pro+
Geekbench AI Score
463
Single Precision Score
12258
Half Precision Score
28411
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 02:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
321
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
13195
2.45 KIPS |
|
|
Image Classification (Q)
|
97% |
32660
6.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
8033
130.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20423
332.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
547
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
72980
85.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
294053
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
12382
982.2 IPS |
|
|
Object Detection (Q)
|
86% |
13228
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (HP)
|
100% |
26367
313.3 IPS |
|
|
Face Detection (Q)
|
97% |
87397
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
525
4.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
43418
334.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
82021
768.0 IPS |
|
|
Style Transfer (SP)
|
100% |
867
1.11 IPS |
|
|
Style Transfer (HP)
|
24% |
2933
88.7 IPS |
|
|
Style Transfer (Q)
|
98% |
220161
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31626
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
77703
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
350
467.6 IPS |
|
|
Text Classification (HP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
30% |
199
40.0 IPS |
