GMKtec NucBox_EVO-T1
Geekbench ML Score
3886
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 27 2025 10:46 PM |
| Views | 8 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1741
325.8 IPS |
|
|
Image Classification (F16)
|
100% |
1904
356.3 IPS |
|
|
Image Classification (I8)
|
99% |
3498
654.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1623
27.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3036
50.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7071
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
6993
8.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
27887
33.8 IPS |
|
|
Object Detection (F32)
|
100% |
1855
138.5 IPS |
|
|
Object Detection (F16)
|
100% |
1808
135.0 IPS |
|
|
Object Detection (I8)
|
62% |
1768
132.0 IPS |
|
|
Face Detection (F32)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (F16)
|
100% |
3908
46.5 IPS |
|
|
Face Detection (I8)
|
89% |
4465
53.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7732
60.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7895
61.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
14665
113.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18176
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
17910
23.6 IPS |
|
|
Style Transfer (I8)
|
98% |
23770
31.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3167
113.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3060
109.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5587
199.5 IPS |
|
|
Text Classification (F32)
|
100% |
1155
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1104
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
2150
39.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2088
38.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3715
68.4 IPS |
