Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
2845
Single Precision Score
8686
Half Precision Score
13300
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 02:11 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% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
6255
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8802
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2675
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
33661
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71314
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
100% |
5324
422.3 IPS |
|
|
Object Detection (Q)
|
87% |
8523
684.0 IPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
13180
156.6 IPS |
|
|
Face Detection (Q)
|
100% |
23070
274.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4226
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15567
119.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
29065
226.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11770
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46353
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82586
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13168
486.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24065
891.2 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2946
50.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2984
51.4 IPS |
