vivo V2309
Geekbench AI Score
928
Single Precision Score
4286
Half Precision Score
4168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 11:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2309 |
| Model ID | vivo V2309 |
| Motherboard | k6989v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 14.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (HP)
|
100% |
3938
732.3 IPS |
|
|
Image Classification (Q)
|
99% |
7494
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3606
58.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1802
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18101
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
73146
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
4115
326.4 IPS |
|
|
Object Detection (Q)
|
86% |
4897
393.9 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
10703
127.2 IPS |
|
|
Face Detection (Q)
|
97% |
10942
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
594
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
18590
143.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
30862
293.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2108
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
30% |
316
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2628
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10004
369.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7016
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
75
100.1 IPS |
|
|
Text Classification (HP)
|
97% |
1658
2.22 KIPS |
|
|
Text Classification (Q)
|
73% |
1610
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
212
3.65 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
60% |
272
6.12 IPS |
