GMKtec NucBox K11
Geekbench AI Score
3351
Single Precision Score
865
Half Precision Score
7209
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | gorg_graggel |
| Upload Date | August 31 2025 09:07 AM |
| Views | 2 |
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% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.1 IPS |
|
|
Image Classification (Q)
|
97% |
7887
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
3903
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6079
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
25906
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (Q)
|
86% |
8670
696.8 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (Q)
|
97% |
15427
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8654
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1077
8.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
6661
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15877
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11651
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24577
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3348
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1823
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3561
71.6 IPS |
