GEEKOM NX14CM
Geekbench AI Score
2546
Single Precision Score
2673
Half Precision Score
6210
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:05 PM |
| Views | 5 |
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% |
921
171.2 IPS |
|
|
Image Classification (HP)
|
100% |
1062
197.6 IPS |
|
|
Image Classification (Q)
|
100% |
5143
956.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4775
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4810
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4689
5.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
13079
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (Q)
|
88% |
2352
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
6441
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2813
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4441
34.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11487
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12502
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12451
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38150
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7359
272.5 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3133
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1982
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1736
29.9 IPS |
