GMKtec NucBox_EVO-T1
Geekbench AI Score
10490
Single Precision Score
24456
Half Precision Score
31495
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | December 03 2025 06:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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 | 93.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7022
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
12962
2.41 KIPS |
|
|
Image Classification (Q)
|
100% |
18404
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8023
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21392
346.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25068
407.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24394
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
99556
116.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
188124
220.2 IPS |
|
|
Object Detection (SP)
|
100% |
6563
520.6 IPS |
|
|
Object Detection (HP)
|
100% |
13894
1.10 KIPS |
|
|
Object Detection (Q)
|
88% |
18040
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
11438
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
27127
322.3 IPS |
|
|
Face Detection (Q)
|
100% |
40557
481.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20055
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49715
383.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
63538
493.9 IPS |
|
|
Style Transfer (SP)
|
100% |
62277
80.1 IPS |
|
|
Style Transfer (HP)
|
100% |
161085
207.1 IPS |
|
|
Style Transfer (Q)
|
98% |
267358
344.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10324
381.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29601
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40797
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4910
6.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3432
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6320
109.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6359
109.5 IPS |
