GMKtec NucBox M3 Ultra
Geekbench ML Score
2354
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2025 11:41 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox M3 Ultra |
| Motherboard | GMKtec GMKtec |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1104
206.6 IPS |
|
|
Image Classification (F16)
|
100% |
1079
201.9 IPS |
|
|
Image Classification (I8)
|
100% |
873
163.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1801
30.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1806
30.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1335
22.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11828
14.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11793
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
5896
7.14 IPS |
|
|
Object Detection (F32)
|
100% |
1216
90.8 IPS |
|
|
Object Detection (F16)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (I8)
|
54% |
909
67.9 IPS |
|
|
Face Detection (F32)
|
100% |
2520
30.0 IPS |
|
|
Face Detection (F16)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (I8)
|
89% |
1714
20.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5810
45.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5796
44.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
4094
31.8 IPS |
|
|
Style Transfer (F32)
|
100% |
25012
32.9 IPS |
|
|
Style Transfer (F16)
|
100% |
25054
33.0 IPS |
|
|
Style Transfer (I8)
|
98% |
15989
21.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3772
134.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3730
133.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1556
55.6 IPS |
|
|
Text Classification (F32)
|
100% |
846
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
705
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
392
562.7 IPS |
|
|
Machine Translation (F32)
|
100% |
869
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
890
16.4 IPS |
|
|
Machine Translation (I8)
|
70% |
487
8.97 IPS |
