GMKtec NucBox K11
Geekbench AI Score
3003
Single Precision Score
1336
Half Precision Score
5944
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | chababa |
| Upload Date | June 11 2025 06:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| 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% |
3538
657.9 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
99% |
8307
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2955
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3788
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
17382
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2177
172.7 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
6150
494.3 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
9552
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5864
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1983
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6750
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10708
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9792
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22116
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2904
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
646
862.1 IPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3197
64.2 IPS |
