GMKtec NucBox K8
Geekbench AI Score
4759
Single Precision Score
4788
Half Precision Score
13554
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 13 2025 08:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | GMKtec NucBox K8 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Ryzen Optimized Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3277
609.5 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.3 IPS |
|
|
Image Classification (Q)
|
100% |
8860
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8143
132.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6469
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
26237
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2910
230.8 IPS |
|
|
Object Detection (HP)
|
100% |
2916
231.3 IPS |
|
|
Object Detection (Q)
|
88% |
8614
690.5 IPS |
|
|
Face Detection (SP)
|
100% |
6849
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
6355
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
22979
273.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8241
63.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
23490
182.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17859
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18270
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
67177
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13149
487.0 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (Q)
|
92% |
5118
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5262
90.6 IPS |
