GMKtec NucBox K11
Geekbench AI Score
2918
Single Precision Score
889
Half Precision Score
7378
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | gorg_graggel |
| Upload Date | August 21 2025 07:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | GMKtec NucBox K11 |
| Motherboard | GMKtec NucBox K11 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 58.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
97% |
8391
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4248
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
23295
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
8772
705.0 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
97% |
18349
218.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6083
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1163
8.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
6715
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12952
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13150
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25024
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3422
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2164
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
65% |
3669
73.7 IPS |
