GMKtec NucBox_EVO-T1
Geekbench AI Score
2243
Single Precision Score
2270
Half Precision Score
1728
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 13 2026 04:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 9 285H |
| 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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
1731
321.8 IPS |
|
|
Image Classification (Q)
|
99% |
1211
225.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1257
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2793
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2802
3.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
4190
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (Q)
|
85% |
1206
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
2604
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2760
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2769
21.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2301
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3656
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3651
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6884
8.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
660
887.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (Q)
|
58% |
608
14.3 IPS |
