GMKtec NucBox K11
Geekbench AI Score
2678
Single Precision Score
2687
Half Precision Score
1851
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | PhillyBass |
| Upload Date | December 16 2025 01:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| 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 | 28.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1942
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (Q)
|
99% |
1438
268.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1264
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3072
3.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3762
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (HP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (Q)
|
85% |
1257
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
2822
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2307
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3732
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3738
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6574
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1760
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (Q)
|
58% |
781
18.3 IPS |
