GMKtec NucBox K8
Geekbench AI Score
3095
Single Precision Score
1511
Half Precision Score
4700
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 29 2025 10:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | GMKtec NucBox K8 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Ryzen Optimized Balanced |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1779
330.9 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
99% |
4385
817.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3288
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
21937
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (Q)
|
88% |
2010
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
5133
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6392
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2230
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4978
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14057
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12316
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24458
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3320
122.9 IPS |
|
|
Text Classification (SP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.8 IPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2345
52.3 IPS |
