Dell Inc. Dell Pro Tower QCT1250
Geekbench AI Score
2558
Single Precision Score
3646
Half Precision Score
5646
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
2488
462.7 IPS |
|
|
Image Classification (Q)
|
99% |
3705
691.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3714
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4415
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4203
4.90 IPS |
|
|
Pose Estimation (HP)
|
99% |
3065
3.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
12696
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (HP)
|
98% |
2184
173.8 IPS |
|
|
Object Detection (Q)
|
90% |
3961
316.7 IPS |
|
|
Face Detection (SP)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
7572
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
9895
117.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4865
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8134
62.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11087
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10913
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17247
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28675
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1965
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3175
117.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6442
238.6 IPS |
|
|
Text Classification (SP)
|
71% |
1108
1.60 KIPS |
|
|
Text Classification (HP)
|
71% |
1322
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1506
26.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1507
26.0 IPS |
