Intel AOSP on Intel Platform
Geekbench AI Score
95
Single Precision Score
94
Half Precision Score
62
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 10:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Intel AOSP on Intel Platform |
| Model ID | Intel AOSP on Intel Platform |
| Motherboard | caas |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 22 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 2 Cores @ 2.50 GHz |
| Cluster 2 | 8 Cores @ 3.80 GHz |
| Cluster 3 | 8 Cores @ 4.50 GHz |
| Cluster 4 | 4 Cores @ 4.80 GHz |
| Memory Information | |
|---|---|
| Size | 30.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
99% |
60
11.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
69
1.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
106
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
106
0.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
100
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
36
2.88 IPS |
|
|
Object Detection (HP)
|
100% |
37
2.93 IPS |
|
|
Object Detection (Q)
|
87% |
25
1.99 IPS |
|
|
Face Detection (SP)
|
100% |
62
0.74 IPS |
|
|
Face Detection (HP)
|
100% |
65
0.78 IPS |
|
|
Face Detection (Q)
|
97% |
34
0.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
99
0.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
98
0.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
61
0.55 IPS |
|
|
Style Transfer (SP)
|
100% |
245
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
246
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
254
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52
1.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
32
1.20 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.8 IPS |
|
|
Text Classification (HP)
|
100% |
115
154.1 IPS |
|
|
Text Classification (Q)
|
91% |
71
95.1 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (Q)
|
57% |
77
1.88 IPS |
