GMKtec NucBox K8 Plus
Geekbench AI Score
3892
Single Precision Score
1092
Half Precision Score
7749
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | cvgb |
| Upload Date | December 10 2024 08:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| 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 | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 88.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
97% |
8830
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7547
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
26242
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
8086
649.9 IPS |
|
|
Face Detection (SP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
17037
203.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8635
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1482
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11263
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18097
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15456
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24347
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4041
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (Q)
|
65% |
2733
54.9 IPS |
