GMKtec NucBox_EVO-T1
Geekbench AI Score
5416
Single Precision Score
3826
Half Precision Score
13900
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | December 03 2025 06:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| 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 | 93.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3340
621.2 IPS |
|
|
Image Classification (HP)
|
100% |
2432
452.3 IPS |
|
|
Image Classification (Q)
|
100% |
8653
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9914
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
22969
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (Q)
|
88% |
9202
737.6 IPS |
|
|
Face Detection (SP)
|
100% |
9074
107.8 IPS |
|
|
Face Detection (HP)
|
100% |
7577
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
22654
269.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7805
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5619
43.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23425
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17732
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11497
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
64632
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3768
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13175
487.9 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6089
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5454
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5399
93.0 IPS |
