GMKtec NucBox_EVO-T1
Geekbench AI Score
5650
Single Precision Score
9946
Half Precision Score
15327
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 09:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
3951
734.8 IPS |
|
|
Image Classification (HP)
|
100% |
7035
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9676
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4410
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7865
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
34856
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73573
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (HP)
|
100% |
6055
480.2 IPS |
|
|
Object Detection (Q)
|
88% |
10165
815.0 IPS |
|
|
Face Detection (SP)
|
100% |
9212
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
17047
202.6 IPS |
|
|
Face Detection (Q)
|
100% |
33061
392.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18030
138.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32442
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20638
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53374
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96291
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4259
157.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16059
593.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30548
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2010
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4434
76.4 IPS |
