Dell Inc. Dell Pro 24 All-in-One QC24250
Geekbench AI Score
6337
Single Precision Score
8912
Half Precision Score
14022
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 08:37 PM |
| Views | 10 |
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 24 All-in-One QC24250 |
| Motherboard | Dell Inc. 0NHKT2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4142
770.4 IPS |
|
|
Image Classification (HP)
|
100% |
6884
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10144
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5327
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3507
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6573
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
33945
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72988
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
3754
297.7 IPS |
|
|
Object Detection (HP)
|
100% |
5545
439.8 IPS |
|
|
Object Detection (Q)
|
87% |
9436
757.3 IPS |
|
|
Face Detection (SP)
|
100% |
10339
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
14711
174.8 IPS |
|
|
Face Detection (Q)
|
100% |
30538
362.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13168
101.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
25737
200.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21300
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40272
51.8 IPS |
|
|
Style Transfer (Q)
|
98% |
76834
99.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13313
491.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22540
834.7 IPS |
|
|
Text Classification (SP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2195
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4942
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4015
69.2 IPS |
