GEEKOM NX16AM
Geekbench AI Score
3141
Single Precision Score
3161
Half Precision Score
7625
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | pshown |
| Upload Date | March 11 2026 01:53 AM |
| 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
1605
298.6 IPS |
|
|
Image Classification (Q)
|
100% |
5280
981.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5101
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4495
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
15574
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
1623
128.8 IPS |
|
|
Object Detection (Q)
|
88% |
4773
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
5060
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
5142
61.1 IPS |
|
|
Face Detection (Q)
|
100% |
10854
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4874
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4901
37.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11919
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13072
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13270
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43964
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7935
293.9 IPS |
|
|
Text Classification (SP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3382
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2176
37.5 IPS |
