GMKtec NucBox K11
Geekbench AI Score
7412
Single Precision Score
10569
Half Precision Score
5484
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 04:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (HP)
|
100% |
4143
770.4 IPS |
|
|
Image Classification (Q)
|
100% |
2813
523.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4841
78.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3184
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
38396
44.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68286
79.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
24718
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
100% |
3350
265.7 IPS |
|
|
Object Detection (Q)
|
87% |
2365
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
5556
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
10180
121.0 IPS |
|
|
Face Detection (Q)
|
97% |
4603
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15611
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24512
188.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11858
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
60278
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
104025
133.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41534
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12419
458.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18974
700.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8004
296.4 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1564
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1658
31.1 IPS |
