Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
2988
Single Precision Score
8706
Half Precision Score
13386
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 02:05 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% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
6286
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8936
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2634
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3519
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4648
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31968
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
70756
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
5346
424.1 IPS |
|
|
Object Detection (Q)
|
87% |
8688
697.3 IPS |
|
|
Face Detection (SP)
|
100% |
4848
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
12969
154.1 IPS |
|
|
Face Detection (Q)
|
100% |
21679
257.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4276
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15576
120.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30654
238.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13229
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46152
59.3 IPS |
|
|
Style Transfer (Q)
|
98% |
84589
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13733
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24524
908.2 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2272
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3074
52.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3051
52.5 IPS |
