Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
4475
Single Precision Score
4902
Half Precision Score
11028
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro Tower QCT1250 |
| Motherboard | Dell Inc. 0J93GF |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3016
560.9 IPS |
|
|
Image Classification (HP)
|
100% |
3045
566.2 IPS |
|
|
Image Classification (Q)
|
100% |
6684
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3716
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6665
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5817
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
5821
6.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
21225
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
2748
218.0 IPS |
|
|
Object Detection (Q)
|
88% |
7088
568.2 IPS |
|
|
Face Detection (SP)
|
100% |
4869
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
16670
198.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7618
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7646
58.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
18670
145.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17585
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17751
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
60065
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11434
423.4 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4590
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4049
69.7 IPS |
