GMKtec NucBox_EVO-T1
Geekbench AI Score
9811
Single Precision Score
24172
Half Precision Score
31771
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | December 05 2025 01:54 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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 | 62.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7030
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13078
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
18867
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7184
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20780
336.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23787
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24504
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
93836
109.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
183741
215.1 IPS |
|
|
Object Detection (SP)
|
100% |
5184
411.2 IPS |
|
|
Object Detection (HP)
|
100% |
14307
1.13 KIPS |
|
|
Object Detection (Q)
|
88% |
18830
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
10541
125.2 IPS |
|
|
Face Detection (HP)
|
100% |
26040
309.4 IPS |
|
|
Face Detection (Q)
|
100% |
40542
481.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16462
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41750
321.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
61833
480.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59784
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
162811
209.3 IPS |
|
|
Style Transfer (Q)
|
98% |
272118
350.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10455
386.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31170
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41548
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4013
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3658
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6535
112.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6511
112.1 IPS |
