GEEKOM NX16AM
Geekbench AI Score
3400
Single Precision Score
1444
Half Precision Score
6665
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 22 2026 02:49 PM |
| Views | 3 |
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 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% |
2588
481.4 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
99% |
5433
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7647
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5413
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3733
4.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
20231
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
5507
442.6 IPS |
|
|
Face Detection (SP)
|
100% |
7188
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
8315
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2008
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13475
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12969
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9166
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20082
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2437
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.1 IPS |
|
|
Text Classification (Q)
|
97% |
1399
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2692
54.1 IPS |
