GMKtec NucBox_EVO-T1
Geekbench AI Score
8434
Single Precision Score
12654
Half Precision Score
5563
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| 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 | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5111
950.4 IPS |
|
|
Image Classification (HP)
|
100% |
6056
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
3764
702.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5975
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10807
175.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4028
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22272
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
41602
48.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18214
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
6021
477.6 IPS |
|
|
Object Detection (HP)
|
100% |
7659
607.5 IPS |
|
|
Object Detection (Q)
|
84% |
4271
344.8 IPS |
|
|
Face Detection (SP)
|
100% |
7982
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
14720
174.9 IPS |
|
|
Face Detection (Q)
|
97% |
5630
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18017
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30825
237.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13434
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60381
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
105506
135.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41296
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9919
366.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17766
656.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5871
217.4 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (Q)
|
97% |
974
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1349
25.3 IPS |
