GMKtec NucBox_EVO-T1
Geekbench AI Score
4344
Single Precision Score
1906
Half Precision Score
7879
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Danny_Lai |
| Upload Date | March 12 2026 12:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3232
601.0 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
99% |
7180
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10238
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7431
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5255
6.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
25172
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
3086
244.8 IPS |
|
|
Object Detection (HP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (Q)
|
86% |
7641
614.1 IPS |
|
|
Face Detection (SP)
|
100% |
9088
108.0 IPS |
|
|
Face Detection (HP)
|
100% |
1969
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
7621
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8884
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16370
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17301
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12379
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24204
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3176
63.8 IPS |
