GMKtec NucBox_EVO-T1
Geekbench AI Score
5749
Single Precision Score
9757
Half Precision Score
14853
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3947
734.0 IPS |
|
|
Image Classification (HP)
|
100% |
6811
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9351
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2907
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7898
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
34126
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73896
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
3268
259.2 IPS |
|
|
Object Detection (HP)
|
100% |
6063
480.9 IPS |
|
|
Object Detection (Q)
|
87% |
10006
803.1 IPS |
|
|
Face Detection (SP)
|
100% |
9400
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
16951
201.4 IPS |
|
|
Face Detection (Q)
|
100% |
28815
342.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8114
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18683
143.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34425
267.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20555
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52256
67.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93941
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14121
521.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25337
938.3 IPS |
|
|
Text Classification (SP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1959
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1954
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4171
71.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4214
72.6 IPS |
