GMKtec NucBox K11
Geekbench AI Score
13144
Single Precision Score
19373
Half Precision Score
10913
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 07:40 PM |
| Views | 3 |
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% |
5259
978.0 IPS |
|
|
Image Classification (HP)
|
99% |
7531
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
4838
902.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7080
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8376
135.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6696
108.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82036
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
207237
241.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73060
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
6314
500.8 IPS |
|
|
Object Detection (HP)
|
100% |
8987
712.8 IPS |
|
|
Object Detection (Q)
|
84% |
5756
464.3 IPS |
|
|
Face Detection (SP)
|
100% |
14585
173.3 IPS |
|
|
Face Detection (HP)
|
100% |
19449
231.1 IPS |
|
|
Face Detection (Q)
|
97% |
13332
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
38179
294.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64184
494.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31776
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
128844
165.6 IPS |
|
|
Style Transfer (HP)
|
100% |
280307
360.3 IPS |
|
|
Style Transfer (Q)
|
98% |
118846
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23826
879.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34482
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18909
700.2 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1202
22.6 IPS |
