Intel(R) Client Systems NUC13RNGi9
Geekbench ML Score
16818
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 10:17 PM |
| Views | 3 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6161
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6183
1.16 KIPS |
|
|
Image Classification (I8)
|
100% |
5705
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7751
129.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7693
128.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7511
125.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
214230
259.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
216829
262.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
193421
234.2 IPS |
|
|
Object Detection (F32)
|
100% |
5398
403.0 IPS |
|
|
Object Detection (F16)
|
100% |
5527
412.6 IPS |
|
|
Object Detection (I8)
|
54% |
5182
386.9 IPS |
|
|
Face Detection (F32)
|
100% |
19107
227.2 IPS |
|
|
Face Detection (F16)
|
100% |
19373
230.4 IPS |
|
|
Face Detection (I8)
|
88% |
17782
211.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
65538
508.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
65293
506.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
53074
411.6 IPS |
|
|
Style Transfer (F32)
|
100% |
359276
472.6 IPS |
|
|
Style Transfer (F16)
|
100% |
338300
445.0 IPS |
|
|
Style Transfer (I8)
|
98% |
309220
406.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34962
1.25 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31367
1.12 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28497
1.02 KIPS |
|
|
Text Classification (F32)
|
100% |
1692
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1763
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1334
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
2044
37.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2038
37.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1509
27.8 IPS |
