Intel(R) Client Systems NUC13RNGi7
Geekbench ML Score
24191
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 16 2024 07:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Intel(R) Client Systems NUC13RNGi7 |
| Motherboard | Intel Corporation NUC13SBBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11124
2.08 KIPS |
|
|
Image Classification (F16)
|
100% |
11027
2.06 KIPS |
|
|
Image Classification (I8)
|
100% |
10087
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16575
276.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
16514
275.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
15329
256.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
231004
279.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
217503
263.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
158599
192.1 IPS |
|
|
Object Detection (F32)
|
100% |
7259
541.9 IPS |
|
|
Object Detection (F16)
|
100% |
7333
547.5 IPS |
|
|
Object Detection (I8)
|
56% |
6961
519.7 IPS |
|
|
Face Detection (F32)
|
100% |
36145
429.8 IPS |
|
|
Face Detection (F16)
|
100% |
35573
423.0 IPS |
|
|
Face Detection (I8)
|
89% |
28567
339.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
72443
561.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
67169
520.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
54128
419.8 IPS |
|
|
Style Transfer (F32)
|
100% |
327760
431.1 IPS |
|
|
Style Transfer (F16)
|
100% |
311811
410.2 IPS |
|
|
Style Transfer (I8)
|
98% |
285756
375.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
44622
1.59 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
47947
1.71 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
35257
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
3142
4.52 KIPS |
|
|
Text Classification (F16)
|
100% |
3154
4.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1924
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4480
82.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4405
81.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2633
48.5 IPS |
