GMKtec NucBox K11
Geekbench AI Score
16087
Single Precision Score
27182
Half Precision Score
12874
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 01:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4070m |
| 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% |
7133
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10962
2.04 KIPS |
|
|
Image Classification (Q)
|
100% |
6523
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10395
168.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14392
233.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9497
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
78206
91.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
238561
278.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
70753
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
7791
618.0 IPS |
|
|
Object Detection (HP)
|
100% |
13690
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
6963
560.5 IPS |
|
|
Face Detection (SP)
|
100% |
19389
230.4 IPS |
|
|
Face Detection (HP)
|
100% |
30099
357.6 IPS |
|
|
Face Detection (Q)
|
97% |
17494
208.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40477
311.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80135
617.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
33793
270.1 IPS |
|
|
Style Transfer (SP)
|
100% |
133001
171.0 IPS |
|
|
Style Transfer (HP)
|
100% |
340620
437.9 IPS |
|
|
Style Transfer (Q)
|
98% |
116833
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28192
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45398
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21206
785.2 IPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3317
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1720
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3455
59.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1627
30.5 IPS |
