GMKtec NucBox_EVO-T1
Geekbench ML Score
6218
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 06 2025 03:55 PM |
| Views | 7 |
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 (32GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4105
768.2 IPS |
|
|
Image Classification (F16)
|
100% |
4257
796.5 IPS |
|
|
Image Classification (I8)
|
100% |
3212
601.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4980
83.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4957
82.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3348
55.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
21294
25.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
21319
25.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17202
20.8 IPS |
|
|
Object Detection (F32)
|
100% |
3518
262.6 IPS |
|
|
Object Detection (F16)
|
100% |
3880
289.6 IPS |
|
|
Object Detection (I8)
|
59% |
2761
206.1 IPS |
|
|
Face Detection (F32)
|
100% |
5973
71.0 IPS |
|
|
Face Detection (F16)
|
100% |
6063
72.1 IPS |
|
|
Face Detection (I8)
|
89% |
4027
47.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16516
128.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
16896
131.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12527
97.1 IPS |
|
|
Style Transfer (F32)
|
100% |
58442
76.9 IPS |
|
|
Style Transfer (F16)
|
100% |
55912
73.5 IPS |
|
|
Style Transfer (I8)
|
98% |
39484
51.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9827
350.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9839
351.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5659
202.1 IPS |
|
|
Text Classification (F32)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1543
2.22 KIPS |
|
|
Text Classification (I8)
|
98% |
856
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2207
40.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2540
46.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1175
21.6 IPS |
