GMKtec NucBox K11
Geekbench AI Score
12834
Single Precision Score
18846
Half Precision Score
10785
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 07:01 PM |
| Views | 2 |
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% |
5023
934.1 IPS |
|
|
Image Classification (HP)
|
99% |
7282
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
4585
855.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6895
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6449
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83669
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
204802
239.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73521
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
6065
481.1 IPS |
|
|
Object Detection (HP)
|
100% |
8485
673.0 IPS |
|
|
Object Detection (Q)
|
84% |
5548
447.5 IPS |
|
|
Face Detection (SP)
|
100% |
13796
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
18252
216.9 IPS |
|
|
Face Detection (Q)
|
97% |
12886
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38352
295.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
65727
506.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
32166
257.3 IPS |
|
|
Style Transfer (SP)
|
100% |
129381
166.3 IPS |
|
|
Style Transfer (HP)
|
100% |
279400
359.2 IPS |
|
|
Style Transfer (Q)
|
98% |
116527
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23115
853.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32947
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18499
685.0 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2474
3.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1257
23.6 IPS |
