GMKtec NucBox_EVO-T1
Geekbench AI Score
2307
Single Precision Score
2333
Half Precision Score
1711
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | December 05 2025 01:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (Q)
|
99% |
1098
204.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2489
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2651
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1260
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2921
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2905
3.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
4164
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (Q)
|
85% |
1134
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
2653
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2823
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2812
21.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2300
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3741
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
3748
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
7046
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1893
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1075
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
638
856.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2431
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (Q)
|
58% |
634
14.9 IPS |
