GMKtec NucBox_G10
Geekbench AI Score
784
Single Precision Score
440
Half Precision Score
860
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 04:07 AM |
| Views | 7 |
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 |
| 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% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (Q)
|
96% |
584
109.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
726
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
876
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
1063
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
58% |
415
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1452
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
550
6.53 IPS |
|
|
Face Detection (Q)
|
96% |
1579
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1344
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
653
5.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
1395
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2421
3.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2028
2.61 IPS |
|
|
Style Transfer (Q)
|
87% |
2628
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
645
23.9 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.7 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.7 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.5 IPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
68% |
721
13.9 IPS |
