GMKtec NucBox_EVO-T1
Geekbench ML Score
6325
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2025 10:48 PM |
| Views | 10 |
System Information
| 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(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 |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (24GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4299
804.4 IPS |
|
|
Image Classification (F16)
|
100% |
4381
819.8 IPS |
|
|
Image Classification (I8)
|
100% |
3220
602.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4969
83.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5234
87.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3556
59.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
21415
25.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
21223
25.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17173
20.8 IPS |
|
|
Object Detection (F32)
|
100% |
3690
275.5 IPS |
|
|
Object Detection (F16)
|
100% |
4031
300.9 IPS |
|
|
Object Detection (I8)
|
59% |
2911
217.3 IPS |
|
|
Face Detection (F32)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (F16)
|
100% |
6323
75.2 IPS |
|
|
Face Detection (I8)
|
89% |
4106
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17382
134.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
16724
129.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12799
99.3 IPS |
|
|
Style Transfer (F32)
|
100% |
57868
76.1 IPS |
|
|
Style Transfer (F16)
|
100% |
56261
74.0 IPS |
|
|
Style Transfer (I8)
|
98% |
39724
52.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10178
363.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9716
347.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6061
216.5 IPS |
|
|
Text Classification (F32)
|
100% |
1345
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
1377
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
893
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2508
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2454
45.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1221
22.5 IPS |
