GMKtec NucBox K11
Geekbench AI Score
14781
Single Precision Score
23009
Half Precision Score
12181
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 12:54 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K11 |
| Motherboard | GMKtec NucBox K11 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6191
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9253
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
5664
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8556
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10501
170.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7494
121.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83615
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
231315
269.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75070
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
7369
584.5 IPS |
|
|
Object Detection (HP)
|
100% |
11062
877.4 IPS |
|
|
Object Detection (Q)
|
84% |
6730
542.8 IPS |
|
|
Face Detection (SP)
|
100% |
15321
182.0 IPS |
|
|
Face Detection (HP)
|
100% |
24341
289.2 IPS |
|
|
Face Detection (Q)
|
97% |
14382
171.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41615
320.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75252
579.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
34758
278.1 IPS |
|
|
Style Transfer (SP)
|
100% |
139878
179.8 IPS |
|
|
Style Transfer (HP)
|
100% |
316205
406.5 IPS |
|
|
Style Transfer (Q)
|
98% |
127629
164.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25832
953.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37729
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20503
759.2 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2569
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1466
27.5 IPS |
