GMKtec NucBox K11
Geekbench AI Score
14283
Single Precision Score
22390
Half Precision Score
11217
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 09:15 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% |
5856
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
8860
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
5275
983.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8323
134.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10184
165.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7562
123.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
80987
94.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
225302
262.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73322
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
7199
571.0 IPS |
|
|
Object Detection (HP)
|
100% |
10955
869.0 IPS |
|
|
Object Detection (Q)
|
84% |
6454
520.5 IPS |
|
|
Face Detection (SP)
|
100% |
14812
176.0 IPS |
|
|
Face Detection (HP)
|
100% |
23769
282.4 IPS |
|
|
Face Detection (Q)
|
97% |
14290
170.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40463
311.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73885
569.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
31930
255.4 IPS |
|
|
Style Transfer (SP)
|
100% |
134747
173.2 IPS |
|
|
Style Transfer (HP)
|
100% |
309582
398.0 IPS |
|
|
Style Transfer (Q)
|
98% |
116132
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25742
950.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37649
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20245
749.6 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
2660
3.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1645
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2612
45.0 IPS |
|
|
Machine Translation (Q)
|
70% |
947
17.8 IPS |
