GMKtec NucBox_EVO-T1
Geekbench AI Score
10107
Single Precision Score
23410
Half Precision Score
29875
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | December 10 2025 04:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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 | 123.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6659
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
12564
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
17803
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7990
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21135
342.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24234
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24213
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
97189
113.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
185702
217.4 IPS |
|
|
Object Detection (SP)
|
100% |
6284
498.5 IPS |
|
|
Object Detection (HP)
|
100% |
13853
1.10 KIPS |
|
|
Object Detection (Q)
|
88% |
18016
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
10682
126.9 IPS |
|
|
Face Detection (HP)
|
100% |
24817
294.9 IPS |
|
|
Face Detection (Q)
|
100% |
35642
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19324
148.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49528
381.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
65073
505.8 IPS |
|
|
Style Transfer (SP)
|
100% |
61395
78.9 IPS |
|
|
Style Transfer (HP)
|
100% |
159454
205.0 IPS |
|
|
Style Transfer (Q)
|
98% |
266946
344.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9991
368.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29862
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40001
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2856
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5623
97.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5548
95.6 IPS |
