GEEKOM NX16AM
Geekbench AI Score
3387
Single Precision Score
3395
Half Precision Score
8070
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 22 2026 02:54 PM |
| Views | 7 |
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 NX16AM |
| Motherboard | Default string NX16A |
| Power Plan | High Performance 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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
1724
320.7 IPS |
|
|
Image Classification (Q)
|
100% |
5608
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5378
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4966
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4990
5.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
17149
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
1737
137.7 IPS |
|
|
Object Detection (Q)
|
88% |
4859
389.5 IPS |
|
|
Face Detection (SP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
5641
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
11099
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5159
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5160
39.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
12539
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14500
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14596
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48722
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8595
318.3 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2005
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3459
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2313
39.8 IPS |
