vivo V2337A
Geekbench AI Score
1513
Single Precision Score
2297
Half Precision Score
1785
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 27 2026 04:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
931
173.1 IPS |
|
|
Image Classification (HP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (Q)
|
100% |
1196
222.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3288
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2686
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7227
8.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
13070
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12854
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
99% |
1262
100.1 IPS |
|
|
Object Detection (Q)
|
87% |
1220
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (Q)
|
97% |
4227
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3603
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5464
42.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
4137
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9093
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19308
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18926
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3071
113.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2714
100.6 IPS |
|
|
Text Classification (SP)
|
35% |
35
342.1 IPS |
|
|
Text Classification (HP)
|
35% |
51
467.4 IPS |
|
|
Text Classification (Q)
|
33% |
38
460.1 IPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
97% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
43% |
191
10.8 IPS |
