GMKtec NucBox_G10
Geekbench AI Score
600
Single Precision Score
351
Half Precision Score
732
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 11 2026 07:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_G10 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
96% |
535
99.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
635
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
620
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
916
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
58% |
378
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (Q)
|
96% |
1254
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
970
7.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
1138
9.08 IPS |
|
|
Style Transfer (SP)
|
100% |
1954
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1640
2.11 IPS |
|
|
Style Transfer (Q)
|
87% |
2271
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
539
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.4 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.6 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.4 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (Q)
|
68% |
615
11.9 IPS |
