Intel(R) Client Systems NUC12SNKi72
Geekbench ML Score
7880
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:34 AM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) Arc(TM) A770M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3898
729.4 IPS |
|
|
Image Classification (F16)
|
100% |
3413
638.6 IPS |
|
|
Image Classification (I8)
|
99% |
3318
620.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5565
92.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
5951
99.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5300
88.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
68030
82.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
65305
79.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
55470
67.2 IPS |
|
|
Object Detection (F32)
|
100% |
3789
282.9 IPS |
|
|
Object Detection (F16)
|
100% |
3898
291.0 IPS |
|
|
Object Detection (I8)
|
60% |
3540
264.2 IPS |
|
|
Face Detection (F32)
|
100% |
12006
142.8 IPS |
|
|
Face Detection (F16)
|
100% |
11850
140.9 IPS |
|
|
Face Detection (I8)
|
88% |
8628
102.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
22739
176.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
22673
175.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
19448
150.8 IPS |
|
|
Style Transfer (F32)
|
100% |
137807
181.3 IPS |
|
|
Style Transfer (F16)
|
100% |
129729
170.6 IPS |
|
|
Style Transfer (I8)
|
98% |
103232
135.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11803
421.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11575
413.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9672
345.4 IPS |
|
|
Text Classification (F32)
|
90% |
502
721.4 IPS |
|
|
Text Classification (F16)
|
90% |
544
782.1 IPS |
|
|
Text Classification (I8)
|
90% |
471
677.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1478
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1416
26.1 IPS |
|
|
Machine Translation (I8)
|
70% |
976
18.0 IPS |
