GMKtec NucBox K6
Geekbench AI Score
2813
Single Precision Score
1292
Half Precision Score
5475
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 01:11 PM |
| Views | 2 |
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 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3260
606.3 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.7 IPS |
|
|
Image Classification (Q)
|
99% |
7248
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3250
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3884
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
14493
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
86% |
5396
433.6 IPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
8490
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5343
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1920
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6187
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9835
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8655
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21790
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2863
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
631
841.9 IPS |
|
|
Text Classification (Q)
|
97% |
1621
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2475
49.7 IPS |
