GEEKOM NX16AM
Geekbench AI Score
3168
Single Precision Score
1306
Half Precision Score
6211
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | pshown |
| Upload Date | March 11 2026 01:38 AM |
| Views | 6 |
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% |
2445
454.7 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
5094
950.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7282
118.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3618
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
18375
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
5346
429.6 IPS |
|
|
Face Detection (SP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
7530
89.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6313
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1866
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12746
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12190
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8803
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18845
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2132
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4208
155.8 IPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
597
796.3 IPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2465
49.5 IPS |
