Intel(R) Client Systems NUC13RNGi7
Geekbench ML Score
4595
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 16 2024 08:22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2415
451.9 IPS |
|
|
Image Classification (F16)
|
100% |
2439
456.4 IPS |
|
|
Image Classification (I8)
|
99% |
4665
872.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2068
34.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2040
34.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3180
53.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9249
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9125
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
30461
36.9 IPS |
|
|
Object Detection (F32)
|
100% |
2206
164.7 IPS |
|
|
Object Detection (F16)
|
100% |
2424
181.0 IPS |
|
|
Object Detection (I8)
|
62% |
2200
164.2 IPS |
|
|
Face Detection (F32)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (F16)
|
100% |
4580
54.5 IPS |
|
|
Face Detection (I8)
|
89% |
4845
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9581
74.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10188
79.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
16982
131.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20612
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
20702
27.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26149
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4577
163.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4537
162.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5648
201.7 IPS |
|
|
Text Classification (F32)
|
100% |
1881
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1968
2.83 KIPS |
|
|
Text Classification (I8)
|
98% |
478
687.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2315
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2320
42.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3171
58.4 IPS |
