Intel(R) Client Systems NUC13RNGi7
Geekbench ML Score
24787
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 16 2024 07:46 PM |
| Views | 1 |
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% |
11522
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11284
2.11 KIPS |
|
|
Image Classification (I8)
|
100% |
10150
1.90 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17139
286.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
16137
269.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
15381
256.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
229502
277.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
230946
279.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
203799
246.8 IPS |
|
|
Object Detection (F32)
|
100% |
7433
554.9 IPS |
|
|
Object Detection (F16)
|
100% |
7371
550.3 IPS |
|
|
Object Detection (I8)
|
56% |
6968
520.2 IPS |
|
|
Face Detection (F32)
|
100% |
35970
427.7 IPS |
|
|
Face Detection (F16)
|
100% |
38662
459.7 IPS |
|
|
Face Detection (I8)
|
89% |
30980
368.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
73214
567.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
68569
531.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
54629
423.6 IPS |
|
|
Style Transfer (F32)
|
100% |
337554
444.0 IPS |
|
|
Style Transfer (F16)
|
100% |
329231
433.1 IPS |
|
|
Style Transfer (I8)
|
98% |
296736
390.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46860
1.67 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
45070
1.61 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
35401
1.26 KIPS |
|
|
Text Classification (F32)
|
100% |
3087
4.44 KIPS |
|
|
Text Classification (F16)
|
100% |
3066
4.41 KIPS |
|
|
Text Classification (I8)
|
98% |
1902
2.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
4565
84.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4515
83.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2682
49.3 IPS |
