GMKtec NucBox K11
Geekbench AI Score
3155
Single Precision Score
883
Half Precision Score
7384
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | gorg_graggel |
| Upload Date | July 14 2025 06:12 PM |
| Views | 12 |
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 | 46.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1768
328.8 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
97% |
8608
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
99% |
3852
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
24207
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
8667
696.6 IPS |
|
|
Face Detection (SP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
97% |
16931
201.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6194
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1169
9.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
6431
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14776
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10978
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22268
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2157
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.79 IPS |
|
|
Machine Translation (Q)
|
65% |
3641
73.2 IPS |
