GEEKOM NX14CM
Geekbench AI Score
5166
Single Precision Score
7891
Half Precision Score
3770
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 15 2026 10:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM NX14CM |
| Motherboard | GEEKOM NX14C |
| Power Plan | Balanced Mode |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2502
465.3 IPS |
|
|
Image Classification (HP)
|
100% |
4171
775.7 IPS |
|
|
Image Classification (Q)
|
100% |
2238
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8419
136.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2866
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16035
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20940
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13701
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2837
225.1 IPS |
|
|
Object Detection (HP)
|
99% |
5355
426.0 IPS |
|
|
Object Detection (Q)
|
86% |
2457
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
10108
120.1 IPS |
|
|
Face Detection (Q)
|
97% |
3981
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11055
85.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21975
169.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
8470
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49133
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
75388
96.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35683
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7899
291.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10842
400.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4221
156.3 IPS |
|
|
Text Classification (SP)
|
86% |
724
978.9 IPS |
|
|
Text Classification (HP)
|
99% |
631
842.5 IPS |
|
|
Text Classification (Q)
|
84% |
551
748.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
70% |
961
18.0 IPS |
