Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
5159
Single Precision Score
10063
Half Precision Score
15456
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | edwardhchan |
| Upload Date | July 17 2025 05:36 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Micro QCM1250 |
| Motherboard | Dell Inc. 04C6CY |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3212
597.4 IPS |
|
|
Image Classification (HP)
|
100% |
7257
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
9871
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3984
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5887
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
34902
40.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75659
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
6354
504.0 IPS |
|
|
Object Detection (Q)
|
87% |
10554
847.0 IPS |
|
|
Face Detection (SP)
|
100% |
8273
98.3 IPS |
|
|
Face Detection (HP)
|
100% |
16408
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
28673
340.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7772
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18487
142.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34843
271.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17600
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52426
67.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95517
123.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14608
539.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26282
973.3 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2141
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4616
79.5 IPS |
