GMKtec NucBox K11
Geekbench AI Score
3200
Single Precision Score
1534
Half Precision Score
7569
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | PhillyBass |
| Upload Date | December 03 2025 12:12 AM |
| Views | 9 |
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 |
| 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% |
2435
452.9 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.3 IPS |
|
|
Image Classification (Q)
|
99% |
7963
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9071
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3849
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
22477
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
7458
599.4 IPS |
|
|
Face Detection (SP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
9723
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6256
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2254
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7322
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11416
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9793
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25396
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5989
221.8 IPS |
|
|
Text Classification (SP)
|
100% |
1972
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1716
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2745
55.2 IPS |
