GMKtec NucBox_EVO-T1
Geekbench AI Score
5165
Single Precision Score
9908
Half Precision Score
15226
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 09 2026 09:23 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3980
740.2 IPS |
|
|
Image Classification (HP)
|
100% |
6814
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9582
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4332
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6842
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
33924
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74154
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
6069
481.4 IPS |
|
|
Object Detection (Q)
|
88% |
10178
816.0 IPS |
|
|
Face Detection (SP)
|
100% |
8697
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
17932
213.1 IPS |
|
|
Face Detection (Q)
|
100% |
32579
387.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7786
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17840
137.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32492
252.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20335
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52568
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
93689
120.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16059
593.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30775
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1989
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4487
77.3 IPS |
