GMKtec NucBox K8
Geekbench AI Score
2605
Single Precision Score
2615
Half Precision Score
1810
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | cvgb |
| Upload Date | October 05 2025 12:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | GMKtec NucBox K8 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1903
353.9 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
99% |
1421
265.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1220
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
3685
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
2031
161.1 IPS |
|
|
Object Detection (HP)
|
100% |
2043
162.0 IPS |
|
|
Object Detection (Q)
|
85% |
1228
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2739
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3131
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3100
23.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2246
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3655
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3665
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6528
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1750
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
933
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
58% |
734
17.2 IPS |
