GMKtec NucBox K11
Geekbench AI Score
5780
Single Precision Score
5827
Half Precision Score
16129
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| 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% |
3670
682.5 IPS |
|
|
Image Classification (HP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (Q)
|
100% |
10771
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4067
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9935
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7364
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
7404
8.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
29536
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
3296
261.5 IPS |
|
|
Object Detection (HP)
|
100% |
3257
258.3 IPS |
|
|
Object Detection (Q)
|
88% |
11115
891.0 IPS |
|
|
Face Detection (SP)
|
100% |
7318
86.9 IPS |
|
|
Face Detection (HP)
|
100% |
7326
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
25631
304.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9275
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9166
70.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
27393
213.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20202
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20113
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
76984
99.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4284
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15128
560.3 IPS |
|
|
Text Classification (SP)
|
100% |
3643
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5710
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5374
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5445
93.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7265
125.1 IPS |
