GMKtec NucBox K11
Geekbench AI Score
12880
Single Precision Score
19257
Half Precision Score
10730
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 02:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Max-Q |
| 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% |
5111
950.6 IPS |
|
|
Image Classification (HP)
|
99% |
7627
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
4773
890.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7019
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8285
134.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6586
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
82665
96.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
203743
237.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73299
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
6192
491.2 IPS |
|
|
Object Detection (HP)
|
100% |
9122
723.6 IPS |
|
|
Object Detection (Q)
|
84% |
5651
455.8 IPS |
|
|
Face Detection (SP)
|
100% |
14363
170.7 IPS |
|
|
Face Detection (HP)
|
100% |
19051
226.4 IPS |
|
|
Face Detection (Q)
|
97% |
13180
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36197
278.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63796
491.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
30313
242.5 IPS |
|
|
Style Transfer (SP)
|
100% |
124189
159.6 IPS |
|
|
Style Transfer (HP)
|
100% |
276635
355.6 IPS |
|
|
Style Transfer (Q)
|
98% |
113684
146.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23014
849.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34422
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18378
680.5 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1481
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1257
23.6 IPS |
