GMKtec NucBox K8
Geekbench AI Score
3203
Single Precision Score
1553
Half Precision Score
4843
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 13 2025 08:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| 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% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
100% |
527
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
4641
865.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
792
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3319
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6129
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5066
5.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
22311
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2176
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (Q)
|
88% |
2040
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
5038
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6835
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2414
18.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5879
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14323
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12949
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24245
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2398
53.5 IPS |
