GMKtec NucBox K11
Geekbench AI Score
14048
Single Precision Score
22810
Half Precision Score
11475
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 04:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070m 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% |
6397
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
9386
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
5923
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8118
131.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10475
169.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7406
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
74949
87.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
215649
251.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
66474
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
6925
549.3 IPS |
|
|
Object Detection (HP)
|
100% |
11091
879.7 IPS |
|
|
Object Detection (Q)
|
85% |
6201
499.2 IPS |
|
|
Face Detection (SP)
|
100% |
15130
179.8 IPS |
|
|
Face Detection (HP)
|
100% |
24399
289.9 IPS |
|
|
Face Detection (Q)
|
97% |
13986
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38409
295.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75231
579.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
32403
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
124369
159.9 IPS |
|
|
Style Transfer (HP)
|
100% |
309067
397.3 IPS |
|
|
Style Transfer (Q)
|
98% |
115061
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25548
943.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39588
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20092
744.0 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2711
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1600
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1306
24.5 IPS |
