GEEKOM NX14CM
Geekbench AI Score
2932
Single Precision Score
8729
Half Precision Score
13363
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
6031
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
8339
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4853
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
30138
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64960
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
5389
427.4 IPS |
|
|
Object Detection (Q)
|
87% |
8814
707.4 IPS |
|
|
Face Detection (SP)
|
100% |
5212
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
14370
170.7 IPS |
|
|
Face Detection (Q)
|
100% |
26985
320.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4071
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17561
135.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32680
254.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12186
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47574
61.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88152
113.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12638
466.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20930
775.1 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1775
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3898
67.1 IPS |
