GMKtec NucBox M6
Geekbench ML Score
3111
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 18 2024 09:32 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GMKtec NucBox M6 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1323
247.6 IPS |
|
|
Image Classification (F16)
|
100% |
1322
247.3 IPS |
|
|
Image Classification (I8)
|
100% |
1130
211.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1305
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1366
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
15160
18.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
15457
18.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12699
15.4 IPS |
|
|
Object Detection (F32)
|
100% |
1165
87.0 IPS |
|
|
Object Detection (F16)
|
100% |
1164
86.9 IPS |
|
|
Object Detection (I8)
|
62% |
1052
78.6 IPS |
|
|
Face Detection (F32)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (F16)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (I8)
|
89% |
2638
31.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8036
62.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8104
62.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
6031
46.8 IPS |
|
|
Style Transfer (F32)
|
100% |
26807
35.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23111
30.4 IPS |
|
|
Style Transfer (I8)
|
98% |
20062
26.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5491
196.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5990
213.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3817
136.3 IPS |
|
|
Text Classification (F32)
|
100% |
983
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
1019
1.46 KIPS |
|
|
Text Classification (I8)
|
98% |
712
1.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1889
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1866
34.3 IPS |
|
|
Machine Translation (I8)
|
70% |
753
13.9 IPS |
