nxp EVK_95
Geekbench ML Score
111
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | February 04 2025 08:15 AM |
| Views | 4 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
76
8.18 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.23 IPS |
|
|
Image Classification (I8)
|
81% |
256
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
130
0.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
130
0.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
456
2.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
119
4.18 IPS |
|
|
Object Detection (F16)
|
100% |
118
4.15 IPS |
|
|
Object Detection (I8)
|
52% |
324
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
161
1.85 IPS |
|
|
Face Detection (F16)
|
100% |
161
1.85 IPS |
|
|
Face Detection (I8)
|
75% |
389
4.47 IPS |
|
|
Text Classification (F32)
|
100% |
99
39.2 IPS |
|
|
Text Classification (F16)
|
100% |
99
39.3 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.97 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.97 IPS |
