GMKtec NucBox_EVO-T1
Geekbench AI Score
5312
Single Precision Score
9964
Half Precision Score
15273
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Wolfgang1756 |
| Upload Date | March 07 2026 03:00 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3643
677.5 IPS |
|
|
Image Classification (HP)
|
100% |
6960
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9734
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7106
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
33870
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74066
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
2885
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
6021
477.6 IPS |
|
|
Object Detection (Q)
|
88% |
10101
809.8 IPS |
|
|
Face Detection (SP)
|
100% |
8845
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
17661
209.8 IPS |
|
|
Face Detection (Q)
|
100% |
32703
388.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7472
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17879
137.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32088
249.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20267
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53331
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95716
123.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16048
592.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30790
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2007
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4541
78.2 IPS |
