GMKtec NucBox EVO-T1 GMKtec NucBox_EVO-T1
Geekbench AI Score
10632
Single Precision Score
26050
Half Precision Score
32788
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 09 2026 09:19 AM |
| Views | 16 |
| Notes | Windows 11, Performance profile |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (64GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7020
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13157
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
17365
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8008
129.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22672
367.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25968
421.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25862
30.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103332
120.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
197456
231.2 IPS |
|
|
Object Detection (SP)
|
100% |
6683
530.1 IPS |
|
|
Object Detection (HP)
|
100% |
16000
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
20398
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
11241
133.6 IPS |
|
|
Face Detection (HP)
|
100% |
26707
317.3 IPS |
|
|
Face Detection (Q)
|
100% |
39556
470.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22086
170.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53323
410.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
69180
537.8 IPS |
|
|
Style Transfer (SP)
|
100% |
62881
80.8 IPS |
|
|
Style Transfer (HP)
|
100% |
179411
230.6 IPS |
|
|
Style Transfer (Q)
|
98% |
313009
403.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10311
380.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35605
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46339
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4961
6.62 KIPS |
|
|
Text Classification (Q)
|
92% |
3201
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6468
111.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6223
107.2 IPS |
