GMKtec NucBox K11
Geekbench AI Score
16508
Single Precision Score
26754
Half Precision Score
13218
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 01:23 AM |
| Views | 6 |
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% |
6762
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
10992
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
6176
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10682
173.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13840
224.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9760
158.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
84503
98.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
235490
274.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74697
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
8059
639.2 IPS |
|
|
Object Detection (HP)
|
100% |
13080
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
7349
592.7 IPS |
|
|
Face Detection (SP)
|
100% |
19306
229.4 IPS |
|
|
Face Detection (HP)
|
100% |
28884
343.2 IPS |
|
|
Face Detection (Q)
|
97% |
16343
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
41453
319.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76506
589.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34349
274.8 IPS |
|
|
Style Transfer (SP)
|
100% |
135290
173.9 IPS |
|
|
Style Transfer (HP)
|
100% |
328378
422.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123849
159.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27574
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43072
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21164
783.7 IPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1918
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1744
32.7 IPS |
