GMKtec NucBox K8 Plus
Geekbench ML Score
3820
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 03:39 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2117
396.2 IPS |
|
|
Image Classification (F16)
|
100% |
2112
395.3 IPS |
|
|
Image Classification (I8)
|
99% |
5103
955.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1264
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1403
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2402
40.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7035
8.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
7125
8.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
24826
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
2106
157.2 IPS |
|
|
Object Detection (F16)
|
100% |
2109
157.4 IPS |
|
|
Object Detection (I8)
|
62% |
2104
157.1 IPS |
|
|
Face Detection (F32)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (F16)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (I8)
|
89% |
5392
64.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8123
63.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8006
62.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
17000
131.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16309
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15955
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
25982
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2483
88.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2445
87.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4148
148.1 IPS |
|
|
Text Classification (F32)
|
100% |
1769
2.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1998
2.87 KIPS |
|
|
Text Classification (I8)
|
98% |
384
551.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2270
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2286
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2837
52.2 IPS |
