Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
4841
Single Precision Score
4940
Half Precision Score
11046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:02 PM |
| Views | 2 |
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% |
3069
570.7 IPS |
|
|
Image Classification (HP)
|
100% |
3051
567.4 IPS |
|
|
Image Classification (Q)
|
100% |
6710
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3661
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6694
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5881
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5872
6.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
21741
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2891
229.3 IPS |
|
|
Object Detection (HP)
|
100% |
2870
227.7 IPS |
|
|
Object Detection (Q)
|
88% |
7007
561.7 IPS |
|
|
Face Detection (SP)
|
100% |
7928
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
7941
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
16560
196.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7571
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7561
58.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
18728
145.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17454
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17609
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
59059
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3594
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11599
429.6 IPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4601
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4078
70.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4046
69.7 IPS |
