Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4526
Single Precision Score
7298
Half Precision Score
10960
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | luisenrique |
| Upload Date | February 27 2026 01:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3116
579.5 IPS |
|
|
Image Classification (HP)
|
100% |
4826
897.4 IPS |
|
|
Image Classification (Q)
|
100% |
6955
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6562
106.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8318
134.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8919
10.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
8775
10.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
26684
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2844
225.6 IPS |
|
|
Object Detection (HP)
|
99% |
4714
373.9 IPS |
|
|
Object Detection (Q)
|
88% |
7810
625.9 IPS |
|
|
Face Detection (SP)
|
100% |
5912
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
11468
136.3 IPS |
|
|
Face Detection (Q)
|
100% |
19721
234.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9403
72.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
17239
133.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20703
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23389
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32255
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
63871
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7508
277.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11586
429.1 IPS |
|
|
Text Classification (SP)
|
71% |
1394
2.02 KIPS |
|
|
Text Classification (HP)
|
71% |
2198
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2141
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3111
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3207
55.4 IPS |
