GMKtec NucBox K11
Geekbench AI Score
13209
Single Precision Score
19675
Half Precision Score
11053
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
5226
971.8 IPS |
|
|
Image Classification (HP)
|
99% |
7551
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
4796
894.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7400
120.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8655
140.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7018
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
81414
95.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
210230
245.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
72555
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
6047
479.7 IPS |
|
|
Object Detection (HP)
|
100% |
8555
678.6 IPS |
|
|
Object Detection (Q)
|
84% |
5585
450.4 IPS |
|
|
Face Detection (SP)
|
100% |
14127
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
20265
240.8 IPS |
|
|
Face Detection (Q)
|
97% |
13081
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39031
300.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65946
508.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
32749
262.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133552
171.7 IPS |
|
|
Style Transfer (HP)
|
100% |
288875
371.4 IPS |
|
|
Style Transfer (Q)
|
98% |
118467
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24081
889.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34842
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18853
698.1 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1548
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1348
25.3 IPS |
