EVO-T1 GMKtec NucBox_EVO-T1
Geekbench AI Score
4493
Single Precision Score
1979
Half Precision Score
8755
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | fklauber |
| Upload Date | January 14 2026 10:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3553
660.8 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (Q)
|
99% |
7550
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10488
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7722
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
5587
6.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
27052
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3345
265.3 IPS |
|
|
Object Detection (HP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
8182
657.5 IPS |
|
|
Face Detection (SP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (HP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
10494
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9412
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2805
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17522
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18109
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13186
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23822
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3327
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5935
219.8 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1539
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3775
75.9 IPS |
