Intel(R) Client Systems NUC10i5FNK
Geekbench ML Score
1113
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC10i5FNK |
| Motherboard | Intel Corporation NUC10i5FNB |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
641
119.9 IPS |
|
|
Image Classification (F16)
|
100% |
617
115.5 IPS |
|
|
Image Classification (I8)
|
97% |
1006
188.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
8.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
466
7.79 IPS |
|
|
Image Segmentation (I8)
|
97% |
816
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1868
2.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1895
2.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
3928
4.76 IPS |
|
|
Object Detection (F32)
|
100% |
562
42.0 IPS |
|
|
Object Detection (F16)
|
100% |
631
47.1 IPS |
|
|
Object Detection (I8)
|
60% |
747
55.8 IPS |
|
|
Face Detection (F32)
|
100% |
844
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
855
10.2 IPS |
|
|
Face Detection (I8)
|
87% |
1665
19.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2225
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2107
16.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
3600
27.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4539
5.97 IPS |
|
|
Style Transfer (F16)
|
100% |
4388
5.77 IPS |
|
|
Style Transfer (I8)
|
85% |
5390
7.09 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
924
33.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1068
38.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1265
45.2 IPS |
|
|
Text Classification (F32)
|
100% |
365
524.7 IPS |
|
|
Text Classification (F16)
|
100% |
571
821.2 IPS |
|
|
Text Classification (I8)
|
94% |
245
351.4 IPS |
|
|
Machine Translation (F32)
|
100% |
783
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
843
15.5 IPS |
|
|
Machine Translation (I8)
|
67% |
985
18.1 IPS |
