GMKtec NucBox K11
Geekbench AI Score
16820
Single Precision Score
27670
Half Precision Score
13433
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 03:42 AM |
| Views | 4 |
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% |
6884
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11339
2.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6289
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10674
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14087
228.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9493
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83677
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
241811
282.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72640
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
8171
648.2 IPS |
|
|
Object Detection (HP)
|
100% |
13754
1.09 KIPS |
|
|
Object Detection (Q)
|
84% |
7447
600.7 IPS |
|
|
Face Detection (SP)
|
100% |
19582
232.7 IPS |
|
|
Face Detection (HP)
|
100% |
29805
354.2 IPS |
|
|
Face Detection (Q)
|
97% |
17835
212.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42658
328.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81631
628.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
35328
282.6 IPS |
|
|
Style Transfer (SP)
|
100% |
141738
182.2 IPS |
|
|
Style Transfer (HP)
|
100% |
338187
434.7 IPS |
|
|
Style Transfer (Q)
|
98% |
127676
164.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28307
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44507
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21927
811.9 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1697
31.8 IPS |
