GMKtec NucBox K11
Geekbench AI Score
13038
Single Precision Score
19897
Half Precision Score
10858
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
5551
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
7766
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
5177
962.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6985
113.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8452
137.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6568
106.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
78444
91.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
211728
247.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
69922
81.9 IPS |
|
|
Object Detection (SP)
|
100% |
6132
486.4 IPS |
|
|
Object Detection (HP)
|
100% |
9164
726.9 IPS |
|
|
Object Detection (Q)
|
85% |
5654
455.1 IPS |
|
|
Face Detection (SP)
|
100% |
14656
174.1 IPS |
|
|
Face Detection (HP)
|
100% |
19945
237.0 IPS |
|
|
Face Detection (Q)
|
97% |
13642
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
37907
292.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68377
526.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
31734
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
125491
161.3 IPS |
|
|
Style Transfer (HP)
|
100% |
292905
376.5 IPS |
|
|
Style Transfer (Q)
|
98% |
114577
147.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24774
914.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36063
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19233
712.2 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1450
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2087
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2152
37.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1226
23.0 IPS |
