Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4254
Single Precision Score
1468
Half Precision Score
7626
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | luisenrique |
| Upload Date | February 27 2026 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235T |
| 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% |
3826
711.6 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.4 IPS |
|
|
Image Classification (Q)
|
99% |
6532
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10599
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7621
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5837
6.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
24090
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
8091
650.3 IPS |
|
|
Face Detection (SP)
|
100% |
8222
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
9987
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9931
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15061
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15233
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11320
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19892
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3495
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2577
95.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.6 IPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2993
60.1 IPS |
