GMKtec NucBox K11
Geekbench AI Score
8667
Single Precision Score
11355
Half Precision Score
7543
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 11:56 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% |
3518
654.3 IPS |
|
|
Image Classification (HP)
|
99% |
4457
831.3 IPS |
|
|
Image Classification (Q)
|
99% |
3333
621.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3120
50.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2891
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
72217
84.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
144037
168.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
64844
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (HP)
|
100% |
4329
343.3 IPS |
|
|
Object Detection (Q)
|
84% |
3382
272.8 IPS |
|
|
Face Detection (SP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
8973
106.6 IPS |
|
|
Face Detection (Q)
|
97% |
7491
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30084
231.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44554
343.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25787
206.3 IPS |
|
|
Style Transfer (SP)
|
100% |
106291
136.6 IPS |
|
|
Style Transfer (HP)
|
100% |
188270
242.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98260
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17127
632.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22682
837.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14403
533.3 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
2977
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
70% |
621
11.6 IPS |
