GEEKOM NX14CM
Geekbench AI Score
7925
Single Precision Score
12380
Half Precision Score
18410
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:10 PM |
| Views | 4 |
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 NX14CM |
| Motherboard | GEEKOM NX14C |
| Power Plan | Balanced 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% |
4834
899.0 IPS |
|
|
Image Classification (HP)
|
100% |
7624
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
9418
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5052
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12518
202.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17436
282.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20862
24.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
18990
22.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
64814
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
4951
392.7 IPS |
|
|
Object Detection (HP)
|
100% |
8810
698.8 IPS |
|
|
Object Detection (Q)
|
88% |
12029
963.9 IPS |
|
|
Face Detection (SP)
|
100% |
10580
125.7 IPS |
|
|
Face Detection (HP)
|
100% |
19902
236.5 IPS |
|
|
Face Detection (Q)
|
100% |
32460
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19512
150.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
34736
268.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
36178
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51999
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
63134
81.2 IPS |
|
|
Style Transfer (Q)
|
98% |
178569
230.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8369
309.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13732
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20864
772.7 IPS |
|
|
Text Classification (SP)
|
71% |
1422
2.06 KIPS |
|
|
Text Classification (HP)
|
71% |
2377
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2112
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3036
52.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3719
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3781
65.3 IPS |
