Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
5055
Single Precision Score
9568
Half Precision Score
14719
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | luisenrique |
| Upload Date | February 27 2026 01:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Micro QCM1250 |
| Motherboard | Dell Inc. 04C6CY |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235T |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3144
584.8 IPS |
|
|
Image Classification (HP)
|
100% |
6944
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9529
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3948
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3978
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5836
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
34494
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75458
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
2899
230.0 IPS |
|
|
Object Detection (HP)
|
100% |
6093
483.3 IPS |
|
|
Object Detection (Q)
|
87% |
10109
811.3 IPS |
|
|
Face Detection (SP)
|
100% |
7919
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
14278
169.7 IPS |
|
|
Face Detection (Q)
|
100% |
25145
298.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7682
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16722
128.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
30908
240.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17589
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48219
62.0 IPS |
|
|
Style Transfer (Q)
|
98% |
87937
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14486
534.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26348
975.8 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2048
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4454
76.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4478
77.1 IPS |
