GEEKOM NX14CM
Geekbench AI Score
2920
Single Precision Score
2939
Half Precision Score
7018
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 15 2026 10:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (Q)
|
100% |
5033
936.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4742
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4856
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4668
5.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
15643
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (Q)
|
88% |
4161
333.5 IPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
9226
109.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4198
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4336
33.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11076
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11630
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11792
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40442
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7559
280.0 IPS |
|
|
Text Classification (SP)
|
100% |
1751
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1764
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3015
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1981
34.1 IPS |
