GMKtec NucBox K11
Geekbench AI Score
1277
Single Precision Score
619
Half Precision Score
2803
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 05:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K11 |
| Motherboard | GMKtec NucBox K11 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.7 IPS |
|
|
Image Classification (Q)
|
99% |
1270
236.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
2706
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2146
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
7018
8.23 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
86% |
2040
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (Q)
|
97% |
5182
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3686
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1084
8.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
5235
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6884
8.85 IPS |
|
|
Style Transfer (HP)
|
100% |
5684
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
12504
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2040
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
364
485.6 IPS |
|
|
Text Classification (Q)
|
97% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
65% |
1135
22.8 IPS |
