GMKtec NucBox K11
Geekbench AI Score
2776
Single Precision Score
1269
Half Precision Score
6001
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 04:14 PM |
| Views | 7 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
99% |
5369
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
5631
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3995
4.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
18037
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
5142
413.2 IPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
9301
110.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1939
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6585
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11604
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9699
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21706
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5447
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1540
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1938
39.0 IPS |
