GMKtec NucBox K11
Geekbench AI Score
12705
Single Precision Score
15496
Half Precision Score
9603
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| 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% |
5418
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5958
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
4647
864.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7077
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6411
103.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6308
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92285
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
162064
189.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
80231
94.0 IPS |
|
|
Object Detection (SP)
|
100% |
5125
406.5 IPS |
|
|
Object Detection (HP)
|
99% |
6966
552.6 IPS |
|
|
Object Detection (Q)
|
87% |
4414
354.5 IPS |
|
|
Face Detection (SP)
|
100% |
15538
184.6 IPS |
|
|
Face Detection (HP)
|
100% |
18383
218.4 IPS |
|
|
Face Detection (Q)
|
97% |
13092
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
39682
305.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45317
349.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
29525
236.8 IPS |
|
|
Style Transfer (SP)
|
100% |
151007
194.1 IPS |
|
|
Style Transfer (HP)
|
100% |
225719
290.2 IPS |
|
|
Style Transfer (Q)
|
98% |
129676
167.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22116
816.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28275
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15787
584.6 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
879
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
70% |
924
17.3 IPS |
