GMKtec NucBox_EVO-T1
Geekbench AI Score
1772
Single Precision Score
787
Half Precision Score
7913
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 13 2026 04:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Ubuntu Resolute Raccoon (development branch) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.1 IPS |
|
|
Image Classification (Q)
|
97% |
6564
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1993
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2723
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
22345
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
86% |
5970
479.8 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (Q)
|
97% |
16627
198.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2757
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1159
8.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
15158
121.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6002
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6771
8.70 IPS |
|
|
Style Transfer (Q)
|
98% |
28824
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5486
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
518
691.9 IPS |
|
|
Text Classification (Q)
|
97% |
1592
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4424
88.9 IPS |
