GMKtec NucBox_EVO-T1
Geekbench AI Score
2286
Single Precision Score
2305
Half Precision Score
1722
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 03 2025 06:15 PM |
| Views | 2 |
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 | 93.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
1674
311.2 IPS |
|
|
Image Classification (Q)
|
99% |
1143
213.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2608
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1273
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
4157
4.87 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (Q)
|
85% |
1133
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
2677
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2818
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2809
21.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2343
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3736
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3736
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
7006
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1906
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
634
851.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2366
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (Q)
|
58% |
632
14.8 IPS |
