GMKtec NucBox_EVO-T1
Geekbench AI Score
4890
Single Precision Score
3493
Half Precision Score
12639
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | December 05 2025 01:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| 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 | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3064
569.7 IPS |
|
|
Image Classification (HP)
|
100% |
2242
416.9 IPS |
|
|
Image Classification (Q)
|
100% |
8177
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3880
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9091
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5219
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3714
4.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
18352
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2794
221.6 IPS |
|
|
Object Detection (HP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (Q)
|
88% |
8565
686.6 IPS |
|
|
Face Detection (SP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (HP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
20345
241.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4967
38.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
20980
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14197
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9987
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55964
72.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3214
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11796
436.8 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5260
90.6 IPS |
