Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4642
Single Precision Score
2028
Half Precision Score
8929
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | November 11 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245T |
| 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% |
3837
713.5 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.7 IPS |
|
|
Image Classification (Q)
|
99% |
8216
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11010
179.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8106
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
30042
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3409
270.4 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
86% |
9215
740.6 IPS |
|
|
Face Detection (SP)
|
100% |
8391
99.7 IPS |
|
|
Face Detection (HP)
|
100% |
2076
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
10177
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10313
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2687
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17982
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18931
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14067
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18369
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5743
212.7 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1715
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3889
78.2 IPS |
