GMKtec NucBox_EVO-T1
Geekbench AI Score
10782
Single Precision Score
25362
Half Precision Score
32015
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GMKtec NucBox_EVO-T1 |
| Motherboard | GMKtec GMKtec |
| Power Plan | High performance |
| 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 | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7343
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
13049
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
17479
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8407
136.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21681
351.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26264
425.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25855
30.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103878
121.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
196416
230.0 IPS |
|
|
Object Detection (SP)
|
100% |
7063
560.2 IPS |
|
|
Object Detection (HP)
|
100% |
15188
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
19037
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
11825
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
28037
333.1 IPS |
|
|
Face Detection (Q)
|
100% |
39938
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22676
174.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53304
410.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
69490
540.2 IPS |
|
|
Style Transfer (SP)
|
100% |
62579
80.4 IPS |
|
|
Style Transfer (HP)
|
100% |
169028
217.3 IPS |
|
|
Style Transfer (Q)
|
98% |
275821
355.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10620
392.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32279
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39831
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4540
6.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3217
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6665
115.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6719
115.7 IPS |
