GMKtec NucBox_EVO-T1
Geekbench AI Score
10374
Single Precision Score
26387
Half Precision Score
34460
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 13 2026 04:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Ubuntu Resolute Raccoon (development branch) |
| 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 | 123.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7111
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13922
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
19692
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7993
129.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22389
362.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24996
406.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24455
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
97681
114.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
200596
234.8 IPS |
|
|
Object Detection (SP)
|
100% |
6178
490.0 IPS |
|
|
Object Detection (HP)
|
100% |
15370
1.22 KIPS |
|
|
Object Detection (Q)
|
88% |
20352
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
10581
125.7 IPS |
|
|
Face Detection (HP)
|
100% |
28149
334.5 IPS |
|
|
Face Detection (Q)
|
100% |
42177
501.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16774
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49857
384.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
64494
501.3 IPS |
|
|
Style Transfer (SP)
|
100% |
62073
79.8 IPS |
|
|
Style Transfer (HP)
|
100% |
182168
234.2 IPS |
|
|
Style Transfer (Q)
|
98% |
317332
409.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10331
381.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35868
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52619
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5788
7.72 KIPS |
|
|
Text Classification (Q)
|
92% |
3904
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6590
113.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6627
114.1 IPS |
