GMKtec NucBox_EVO-T1
Geekbench AI Score
5231
Single Precision Score
2085
Half Precision Score
9324
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | picknmix |
| Upload Date | August 01 2025 11:00 AM |
| Views | 11 |
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% |
3966
737.5 IPS |
|
|
Image Classification (HP)
|
100% |
745
138.6 IPS |
|
|
Image Classification (Q)
|
99% |
8385
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11438
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8761
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
30951
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3822
303.2 IPS |
|
|
Object Detection (HP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (Q)
|
86% |
9197
739.1 IPS |
|
|
Face Detection (SP)
|
100% |
10834
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
10718
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11096
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2930
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18290
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20700
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14355
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25751
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5877
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3894
78.2 IPS |
