GMKtec NucBox K11
Geekbench AI Score
12979
Single Precision Score
19324
Half Precision Score
10852
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 09:27 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% |
5222
971.1 IPS |
|
|
Image Classification (HP)
|
99% |
7483
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
4751
886.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7088
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8405
136.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6637
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81535
95.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
205870
240.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73018
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
5997
475.7 IPS |
|
|
Object Detection (HP)
|
100% |
8867
703.3 IPS |
|
|
Object Detection (Q)
|
84% |
5764
464.9 IPS |
|
|
Face Detection (SP)
|
100% |
14499
172.3 IPS |
|
|
Face Detection (HP)
|
100% |
19349
229.9 IPS |
|
|
Face Detection (Q)
|
97% |
13469
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
37811
291.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63830
491.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
31549
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
128211
164.8 IPS |
|
|
Style Transfer (HP)
|
100% |
283569
364.5 IPS |
|
|
Style Transfer (Q)
|
98% |
114528
147.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23737
876.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34438
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18869
698.7 IPS |
|
|
Text Classification (SP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2415
3.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1226
23.0 IPS |
