GMKtec NucBox K11
Geekbench AI Score
3976
Single Precision Score
1783
Half Precision Score
7255
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 08:09 PM |
| Views | 2 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (HP)
|
100% |
640
118.9 IPS |
|
|
Image Classification (Q)
|
99% |
8323
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3795
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5972
6.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
25553
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
844
67.0 IPS |
|
|
Object Detection (Q)
|
86% |
8168
656.4 IPS |
|
|
Face Detection (SP)
|
100% |
6817
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
11377
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9335
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2726
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6969
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16116
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14495
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29246
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2760
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2434
89.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3560
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1986
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3743
75.2 IPS |
