GMKtec NucBox K8 Plus
Geekbench ML Score
5019
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 03:40 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox K8 Plus |
| Motherboard | GMKtec NucBox K8 Plus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2619
490.0 IPS |
|
|
Image Classification (F16)
|
100% |
2458
460.0 IPS |
|
|
Image Classification (I8)
|
100% |
2245
420.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2689
44.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2717
45.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2301
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
35050
42.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
34181
41.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
26753
32.4 IPS |
|
|
Object Detection (F32)
|
100% |
1691
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
1746
130.4 IPS |
|
|
Object Detection (I8)
|
62% |
1625
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
5364
63.8 IPS |
|
|
Face Detection (F16)
|
100% |
5288
62.9 IPS |
|
|
Face Detection (I8)
|
89% |
4086
48.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15362
119.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15374
119.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12007
93.1 IPS |
|
|
Style Transfer (F32)
|
100% |
29811
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30082
39.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25612
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5857
209.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5887
210.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4550
162.5 IPS |
|
|
Text Classification (F32)
|
100% |
1577
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1553
2.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1259
1.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
2290
42.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2174
40.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1543
28.4 IPS |
