GMKtec NucBox K11
Geekbench AI Score
2171
Single Precision Score
2258
Half Precision Score
1480
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | gorg_graggel |
| Upload Date | July 14 2025 03:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (Q)
|
99% |
952
177.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
954
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3005
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3274
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (Q)
|
85% |
879
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
2474
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2916
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2952
22.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2036
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3817
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3759
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
6024
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1300
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
673
904.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (Q)
|
58% |
730
17.1 IPS |
