GMKtec NucBox M3 Ultra
Geekbench ML Score
2484
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2025 11:38 AM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1190
222.7 IPS |
|
|
Image Classification (F16)
|
100% |
1205
225.5 IPS |
|
|
Image Classification (I8)
|
99% |
2237
418.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1195
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1190
19.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2193
36.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3750
4.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
3768
4.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
12895
15.6 IPS |
|
|
Object Detection (F32)
|
100% |
1242
92.7 IPS |
|
|
Object Detection (F16)
|
100% |
1221
91.1 IPS |
|
|
Object Detection (I8)
|
62% |
1183
88.3 IPS |
|
|
Face Detection (F32)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (F16)
|
100% |
2554
30.4 IPS |
|
|
Face Detection (I8)
|
89% |
2951
35.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4626
35.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4609
35.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
9205
71.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9209
12.1 IPS |
|
|
Style Transfer (F16)
|
100% |
9147
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
14989
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2095
74.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2060
73.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3146
112.3 IPS |
|
|
Text Classification (F32)
|
100% |
1073
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1080
1.55 KIPS |
|
|
Text Classification (I8)
|
98% |
868
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1316
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1310
24.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1961
36.1 IPS |
