incar P30S_ROW
Geekbench AI Score
90
Single Precision Score
89
Half Precision Score
104
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 15 2025 09:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8183 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | incar P30S_ROW |
| Model ID | incar P30S_ROW |
| Motherboard | tb8788p1_64_bsp_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT8183 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 3.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
42
7.84 IPS |
|
|
Image Classification (HP)
|
100% |
43
8.06 IPS |
|
|
Image Classification (Q)
|
100% |
71
13.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
52
0.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
113
1.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
243
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
195
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.87 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.97 IPS |
|
|
Object Detection (Q)
|
83% |
61
4.89 IPS |
|
|
Face Detection (SP)
|
100% |
112
1.33 IPS |
|
|
Face Detection (HP)
|
100% |
116
1.38 IPS |
|
|
Face Detection (Q)
|
95% |
182
2.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
157
1.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
154
1.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
175
1.61 IPS |
|
|
Style Transfer (SP)
|
89% |
476
0.62 IPS |
|
|
Style Transfer (HP)
|
89% |
456
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
483
0.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79
2.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
77
2.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
101
3.75 IPS |
|
|
Text Classification (SP)
|
100% |
39
52.5 IPS |
|
|
Text Classification (HP)
|
100% |
38
50.2 IPS |
|
|
Text Classification (Q)
|
88% |
42
56.5 IPS |
|
|
Machine Translation (SP)
|
100% |
55
0.94 IPS |
|
|
Machine Translation (HP)
|
100% |
52
0.90 IPS |
|
|
Machine Translation (Q)
|
50% |
25
0.88 IPS |
