GMKtec NucBox K11
Geekbench AI Score
14641
Single Precision Score
22851
Half Precision Score
12158
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 12:47 AM |
| Views | 9 |
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% |
6181
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
9253
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
5632
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8547
138.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10427
169.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7468
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
85148
99.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
223693
261.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75264
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
7409
587.7 IPS |
|
|
Object Detection (HP)
|
100% |
11087
879.4 IPS |
|
|
Object Detection (Q)
|
84% |
6696
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
15378
182.7 IPS |
|
|
Face Detection (HP)
|
100% |
24175
287.3 IPS |
|
|
Face Detection (Q)
|
97% |
15682
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41734
321.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75346
580.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
34455
275.6 IPS |
|
|
Style Transfer (SP)
|
100% |
129838
166.9 IPS |
|
|
Style Transfer (HP)
|
100% |
315546
405.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124754
160.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25929
957.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38094
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20487
758.6 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2569
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1425
26.7 IPS |
