GEEKOM NX16AM
Geekbench AI Score
8913
Single Precision Score
14377
Half Precision Score
21774
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | January 22 2026 02:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6480
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
9238
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
10874
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5432
88.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13990
226.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21010
340.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22814
26.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
23480
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
80587
94.3 IPS |
|
|
Object Detection (SP)
|
100% |
5855
464.4 IPS |
|
|
Object Detection (HP)
|
100% |
9771
775.0 IPS |
|
|
Object Detection (Q)
|
88% |
14124
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
11037
131.1 IPS |
|
|
Face Detection (HP)
|
100% |
22450
266.8 IPS |
|
|
Face Detection (Q)
|
100% |
36253
430.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20592
158.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
36480
282.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
43292
336.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56590
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74452
95.7 IPS |
|
|
Style Transfer (Q)
|
98% |
198294
255.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9276
342.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16491
608.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25851
957.3 IPS |
|
|
Text Classification (SP)
|
71% |
1645
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
2895
4.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2664
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4373
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4300
74.3 IPS |
