Intel(R) Client Systems NUC13RNGi7
Geekbench ML Score
4548
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | fthiess |
| Upload Date | August 16 2024 07:23 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 | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 4.00 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% |
2427
454.1 IPS |
|
|
Image Classification (F16)
|
100% |
2414
451.8 IPS |
|
|
Image Classification (I8)
|
99% |
4570
855.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2025
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2054
34.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3125
52.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8839
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8757
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
31978
38.7 IPS |
|
|
Object Detection (F32)
|
100% |
2250
168.0 IPS |
|
|
Object Detection (F16)
|
100% |
2325
173.6 IPS |
|
|
Object Detection (I8)
|
62% |
1535
114.6 IPS |
|
|
Face Detection (F32)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (F16)
|
100% |
4639
55.2 IPS |
|
|
Face Detection (I8)
|
89% |
4801
57.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
9941
77.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9951
77.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
16778
130.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20708
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
20957
27.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26286
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4638
165.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4143
148.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6151
219.7 IPS |
|
|
Text Classification (F32)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1934
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
522
750.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2338
43.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2454
45.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3268
60.1 IPS |
