GMKtec NucBox_EVO-T1
Geekbench AI Score
4074
Single Precision Score
2936
Half Precision Score
11023
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | March 13 2026 04:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Ubuntu Resolute Raccoon (development branch) |
| 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 | 123.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2819
524.3 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (Q)
|
100% |
7784
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8207
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4639
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
12887
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (Q)
|
88% |
7749
621.1 IPS |
|
|
Face Detection (SP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
5912
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
18016
214.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5251
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3575
27.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
20336
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11713
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8134
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37307
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10649
394.4 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
5746
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4951
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4966
85.5 IPS |
