Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4529
Single Precision Score
7820
Half Precision Score
12315
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | November 11 2025 05:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3368
626.4 IPS |
|
|
Image Classification (HP)
|
100% |
5504
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7193
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6449
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9259
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11228
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10652
12.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
35254
41.3 IPS |
|
|
Object Detection (SP)
|
100% |
2981
236.5 IPS |
|
|
Object Detection (HP)
|
100% |
5119
406.0 IPS |
|
|
Object Detection (Q)
|
88% |
8630
691.6 IPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
10126
120.3 IPS |
|
|
Face Detection (Q)
|
100% |
19112
227.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10521
81.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
18827
145.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
23316
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26163
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37276
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
82641
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4475
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8509
314.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14072
521.1 IPS |
|
|
Text Classification (SP)
|
71% |
1544
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2365
3.42 KIPS |
|
|
Text Classification (Q)
|
92% |
2458
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3090
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3111
53.8 IPS |
