Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4876
Single Precision Score
9006
Half Precision Score
14087
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | November 11 2025 05:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Micro QCM1250 |
| Motherboard | Dell Inc. 0J1WPC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245T |
| 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% |
3232
601.0 IPS |
|
|
Image Classification (HP)
|
100% |
6834
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9619
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3608
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
34797
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73991
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
2815
223.3 IPS |
|
|
Object Detection (HP)
|
100% |
5621
445.9 IPS |
|
|
Object Detection (Q)
|
87% |
9487
761.4 IPS |
|
|
Face Detection (SP)
|
100% |
7504
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
14453
171.7 IPS |
|
|
Face Detection (Q)
|
100% |
30434
361.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13533
104.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
26225
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16610
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40883
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78438
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3407
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13499
498.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22383
828.9 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4045
69.7 IPS |
