GMKtec NucBox K11
Geekbench AI Score
13590
Single Precision Score
20496
Half Precision Score
11368
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 05:35 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% |
5372
998.9 IPS |
|
|
Image Classification (HP)
|
99% |
7833
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
4968
926.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7709
125.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8971
145.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7116
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82931
96.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
213087
248.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74825
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
6630
525.9 IPS |
|
|
Object Detection (HP)
|
100% |
10156
805.6 IPS |
|
|
Object Detection (Q)
|
84% |
5948
479.7 IPS |
|
|
Face Detection (SP)
|
100% |
15253
181.2 IPS |
|
|
Face Detection (HP)
|
100% |
20745
246.5 IPS |
|
|
Face Detection (Q)
|
97% |
14033
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39351
303.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71926
554.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32478
259.8 IPS |
|
|
Style Transfer (SP)
|
100% |
133990
172.2 IPS |
|
|
Style Transfer (HP)
|
100% |
291299
374.5 IPS |
|
|
Style Transfer (Q)
|
98% |
117910
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23804
879.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34554
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19700
729.5 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2461
3.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1581
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1369
25.7 IPS |
