Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
4667
Single Precision Score
4894
Half Precision Score
10940
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:07 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% |
3050
567.3 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
100% |
6714
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3700
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6471
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5782
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
5828
6.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
21363
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2797
221.8 IPS |
|
|
Object Detection (HP)
|
100% |
2801
222.2 IPS |
|
|
Object Detection (Q)
|
88% |
7001
561.2 IPS |
|
|
Face Detection (SP)
|
100% |
7850
93.3 IPS |
|
|
Face Detection (HP)
|
100% |
7813
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
16471
195.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7572
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7562
58.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
18353
142.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17416
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17579
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
59434
76.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11372
421.1 IPS |
|
|
Text Classification (SP)
|
100% |
2811
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4573
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4049
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4028
69.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4045
69.7 IPS |
