Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4766
Single Precision Score
8770
Half Precision Score
13779
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 02:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro Micro QCM1250 |
| Motherboard | Dell Inc. 04C6CY |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3056
568.4 IPS |
|
|
Image Classification (HP)
|
100% |
6724
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9802
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3913
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5762
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
34474
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73530
86.1 IPS |
|
|
Object Detection (SP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (HP)
|
100% |
5509
437.0 IPS |
|
|
Object Detection (Q)
|
87% |
9314
747.5 IPS |
|
|
Face Detection (SP)
|
100% |
5678
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
13998
166.3 IPS |
|
|
Face Detection (Q)
|
100% |
29640
352.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7495
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12727
98.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
24764
192.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17327
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39103
50.3 IPS |
|
|
Style Transfer (Q)
|
98% |
73355
94.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13143
485.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22331
827.0 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2196
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3903
67.2 IPS |
