Intel(R) Client Systems NUC13RNGi9
Geekbench ML Score
4397
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 10:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Intel(R) Client Systems NUC13RNGi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2328
435.7 IPS |
|
|
Image Classification (F16)
|
100% |
2313
432.8 IPS |
|
|
Image Classification (I8)
|
99% |
4668
873.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1925
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1971
32.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2720
45.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7398
8.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
7623
9.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
27951
33.8 IPS |
|
|
Object Detection (F32)
|
100% |
2288
170.8 IPS |
|
|
Object Detection (F16)
|
100% |
2297
171.5 IPS |
|
|
Object Detection (I8)
|
62% |
1708
127.5 IPS |
|
|
Face Detection (F32)
|
100% |
4687
55.7 IPS |
|
|
Face Detection (F16)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (I8)
|
89% |
5176
61.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8061
62.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8522
66.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
16078
124.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19177
25.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19367
25.5 IPS |
|
|
Style Transfer (I8)
|
98% |
25487
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3395
121.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4304
153.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6026
215.2 IPS |
|
|
Text Classification (F32)
|
100% |
1894
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1959
2.82 KIPS |
|
|
Text Classification (I8)
|
98% |
495
711.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2661
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2778
51.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3799
69.9 IPS |
