Intel(R) Client Systems NUC12SNKi72
Geekbench ML Score
3123
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC12SNKi72 |
| Motherboard | Intel Corporation NUC12SNKi72 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1838
343.9 IPS |
|
|
Image Classification (F16)
|
100% |
808
151.2 IPS |
|
|
Image Classification (I8)
|
99% |
3217
601.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1607
26.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1607
26.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2194
36.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3019
3.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
5822
7.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
16439
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1681
125.5 IPS |
|
|
Object Detection (F16)
|
100% |
1673
124.9 IPS |
|
|
Object Detection (I8)
|
62% |
1716
128.1 IPS |
|
|
Face Detection (F32)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (F16)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (I8)
|
89% |
3602
42.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6461
50.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6666
51.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12653
98.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13714
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13794
18.1 IPS |
|
|
Style Transfer (I8)
|
98% |
18152
23.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3360
120.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3342
119.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4537
162.0 IPS |
|
|
Text Classification (F32)
|
100% |
1381
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
1421
2.04 KIPS |
|
|
Text Classification (I8)
|
98% |
441
633.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1832
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
34.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2492
45.9 IPS |
