Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
2843
Single Precision Score
8759
Half Precision Score
13324
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 02:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro Tower QCT1250 |
| Motherboard | Dell Inc. 0HVK1X |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
6448
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
9175
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4409
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
33638
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71603
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
5268
417.9 IPS |
|
|
Object Detection (Q)
|
87% |
8472
680.0 IPS |
|
|
Face Detection (SP)
|
100% |
4552
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
13021
154.7 IPS |
|
|
Face Detection (Q)
|
100% |
21836
259.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4219
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15676
120.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28923
225.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11851
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46850
60.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85745
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13537
499.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24299
899.9 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2266
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3002
51.7 IPS |
