vivo V2231
Geekbench AI Score
368
Single Precision Score
449
Half Precision Score
458
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SamsulGG15 |
| Upload Date | October 28 2024 01:16 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | vivo V2231 |
| Model ID | vivo V2231 |
| Motherboard | k6886v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
99% |
315
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
602
9.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
345
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
459
0.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
454
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
83% |
267
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
963
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
699
5.38 IPS |
|
|
Depth Estimation (Q)
|
62% |
559
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1445
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1777
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1780
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
330
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
131
174.3 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.1 IPS |
|
|
Text Classification (Q)
|
91% |
286
384.8 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (Q)
|
57% |
199
4.87 IPS |
