GMKtec NucBox K11
Geekbench AI Score
14816
Single Precision Score
17134
Half Precision Score
11140
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K11 |
| Motherboard | GMKtec NucBox K11 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6152
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6153
1.14 KIPS |
|
|
Image Classification (Q)
|
99% |
5040
940.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7780
126.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7206
116.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6993
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
122944
143.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
209361
244.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
115069
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
6685
530.2 IPS |
|
|
Object Detection (HP)
|
99% |
6947
551.0 IPS |
|
|
Object Detection (Q)
|
87% |
5665
455.0 IPS |
|
|
Face Detection (SP)
|
100% |
17751
210.9 IPS |
|
|
Face Detection (HP)
|
100% |
19121
227.2 IPS |
|
|
Face Detection (Q)
|
97% |
15427
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43412
334.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48334
372.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
32966
264.2 IPS |
|
|
Style Transfer (SP)
|
100% |
227266
292.2 IPS |
|
|
Style Transfer (HP)
|
100% |
317341
407.9 IPS |
|
|
Style Transfer (Q)
|
98% |
172234
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24093
889.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32993
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16671
617.3 IPS |
|
|
Text Classification (SP)
|
100% |
1686
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
97% |
922
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (Q)
|
70% |
952
17.9 IPS |
