Dell Inc. Dell Pro Micro QCM1250
Geekbench AI Score
4724
Single Precision Score
2048
Half Precision Score
8807
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | seanbrewer |
| Upload Date | July 19 2025 11:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Micro QCM1250 |
| Motherboard | Dell Inc. 0J1WPC |
| Power Plan | High performance |
| 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% |
3784
703.6 IPS |
|
|
Image Classification (HP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (Q)
|
99% |
8331
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10906
177.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8139
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5838
6.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
29982
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (HP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (Q)
|
86% |
9074
729.3 IPS |
|
|
Face Detection (SP)
|
100% |
8387
99.7 IPS |
|
|
Face Detection (HP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
10133
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10126
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2686
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16768
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19171
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14285
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20435
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5977
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
1842
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1605
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3411
68.5 IPS |
