GEEKOM NX14CM
Geekbench AI Score
7827
Single Precision Score
12038
Half Precision Score
17953
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 15 2026 10:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5285
982.8 IPS |
|
|
Image Classification (HP)
|
100% |
7775
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
9299
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5085
82.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12261
198.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17232
279.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20247
23.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18831
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
64441
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
4842
384.0 IPS |
|
|
Object Detection (HP)
|
100% |
8431
668.8 IPS |
|
|
Object Detection (Q)
|
88% |
11970
959.2 IPS |
|
|
Face Detection (SP)
|
100% |
10583
125.7 IPS |
|
|
Face Detection (HP)
|
100% |
19899
236.4 IPS |
|
|
Face Detection (Q)
|
100% |
32191
382.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17904
137.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
29744
229.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
34076
264.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50307
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60038
77.2 IPS |
|
|
Style Transfer (Q)
|
98% |
157886
203.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8178
302.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13515
499.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19911
737.4 IPS |
|
|
Text Classification (SP)
|
71% |
1426
2.06 KIPS |
|
|
Text Classification (HP)
|
71% |
2396
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2948
50.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3671
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3720
64.3 IPS |
