GMKtec NucBox K6
Geekbench AI Score
3233
Single Precision Score
1617
Half Precision Score
6152
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K6 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2697
501.6 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (Q)
|
99% |
7689
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3274
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5391
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
23279
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
6935
557.3 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
9210
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2524
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6979
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14656
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13412
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17984
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2344
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1893
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2587
52.0 IPS |
