GEEKOM NX14CM
Geekbench AI Score
3133
Single Precision Score
1280
Half Precision Score
5999
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 15 2026 10:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2461
457.7 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
99% |
5050
941.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7083
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5244
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
18775
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
4819
387.3 IPS |
|
|
Face Detection (SP)
|
100% |
6672
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7189
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6411
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1838
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12468
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12271
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8479
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18636
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2269
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4194
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.7 IPS |
|
|
Text Classification (Q)
|
97% |
1215
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2195
44.1 IPS |
