GMKtec NucBox_EVO-T1
Geekbench AI Score
4578
Single Precision Score
1891
Half Precision Score
8650
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 06:48 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| 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 | 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% |
3521
654.9 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.1 IPS |
|
|
Image Classification (Q)
|
99% |
7277
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10136
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7056
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5190
6.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
26639
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3000
238.0 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
8162
656.0 IPS |
|
|
Face Detection (SP)
|
100% |
9314
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
2047
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
10506
125.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9773
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2742
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17525
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18442
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12896
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24837
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3226
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2447
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5769
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3794
76.2 IPS |
