GMKtec NucBox_EVO-T1
Geekbench AI Score
5137
Single Precision Score
2098
Half Precision Score
9323
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | August 05 2025 12:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4072
757.3 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
99% |
8325
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11446
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8903
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6221
7.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
30684
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3800
301.4 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
9156
735.8 IPS |
|
|
Face Detection (SP)
|
100% |
10637
126.4 IPS |
|
|
Face Detection (HP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
10719
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10794
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2927
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18633
148.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20782
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14041
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26261
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3896
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2840
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6029
223.2 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3888
78.1 IPS |
