nxp EVK_95
Geekbench ML Score
23
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | February 04 2025 09:08 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nxp EVK_95 |
| Model ID | nxp EVK_95 |
| Motherboard | EVK_95 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 14.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
18
1.88 IPS |
|
|
Image Classification (F16)
|
100% |
18
1.88 IPS |
|
|
Image Classification (I8)
|
81% |
31
3.36 IPS |
|
|
Image Segmentation (F32)
|
100% |
29
0.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
29
0.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
54
0.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
12
0.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
12
0.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
87
0.35 IPS |
|
|
Object Detection (F32)
|
100% |
27
0.96 IPS |
|
|
Object Detection (F16)
|
100% |
27
0.96 IPS |
|
|
Object Detection (I8)
|
53% |
50
1.77 IPS |
|
|
Face Detection (F32)
|
100% |
22
0.25 IPS |
|
|
Face Detection (F16)
|
100% |
22
0.25 IPS |
|
|
Face Detection (I8)
|
75% |
33
0.38 IPS |
|
|
Text Classification (F32)
|
100% |
9
3.52 IPS |
|
|
Text Classification (F16)
|
100% |
9
3.52 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.91 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.91 IPS |
