vivo V2337A
Geekbench AI Score
267
Single Precision Score
19884
Half Precision Score
48339
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 04:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2337A |
| Model ID | vivo V2337A |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
14891
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
38869
7.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
10320
167.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
29408
478.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
76336
89.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
395378
462.8 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
13593
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
18608
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
457
5.42 IPS |
|
|
Face Detection (HP)
|
100% |
29629
352.1 IPS |
|
|
Face Detection (Q)
|
97% |
102867
1.23 KIPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
56507
435.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
108362
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
644
0.83 IPS |
|
|
Style Transfer (HP)
|
98% |
82162
105.9 IPS |
|
|
Style Transfer (Q)
|
98% |
419066
540.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39099
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103572
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
210
279.9 IPS |
|
|
Text Classification (HP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6898
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2482
65.0 IPS |
