GMKtec NucBox_EVO-T1
Geekbench AI Score
8066
Single Precision Score
12102
Half Precision Score
5314
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 09 2026 09:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (64GB) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5231
972.8 IPS |
|
|
Image Classification (HP)
|
100% |
6313
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
3685
687.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5793
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10665
172.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3826
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17554
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28343
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14898
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
5708
452.8 IPS |
|
|
Object Detection (HP)
|
100% |
7721
612.5 IPS |
|
|
Object Detection (Q)
|
84% |
4065
328.2 IPS |
|
|
Face Detection (SP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
14116
167.7 IPS |
|
|
Face Detection (Q)
|
97% |
5391
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18238
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31133
239.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13465
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60027
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
105163
135.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40268
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9718
358.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17058
629.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5948
220.3 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1241
23.3 IPS |
