vivo V2366GA
Geekbench AI Score
2590
Single Precision Score
2572
Half Precision Score
4192
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | vivo V2366GA |
| Model ID | vivo V2366GA |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (Q)
|
100% |
3503
651.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4106
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4245
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4106
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
9413
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
1871
148.9 IPS |
|
|
Object Detection (HP)
|
98% |
1912
152.1 IPS |
|
|
Object Detection (Q)
|
83% |
3006
242.8 IPS |
|
|
Face Detection (SP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3682
43.8 IPS |
|
|
Face Detection (Q)
|
95% |
7293
87.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3774
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3705
28.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6986
64.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9845
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9373
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19072
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2045
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4758
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1209
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
738
26.2 IPS |
