Dell Inc. Dell Pro Slim Plus QBS1250
Geekbench AI Score
5537
Single Precision Score
8766
Half Precision Score
13092
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 12:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Slim Plus QBS1250 |
| Motherboard | Dell Inc. 0FHTFV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3869
719.5 IPS |
|
|
Image Classification (HP)
|
100% |
5910
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
7292
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3788
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8891
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12653
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11700
13.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10882
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35377
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
3499
277.5 IPS |
|
|
Object Detection (HP)
|
100% |
5544
439.7 IPS |
|
|
Object Detection (Q)
|
88% |
8953
717.4 IPS |
|
|
Face Detection (SP)
|
100% |
7402
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
14222
169.0 IPS |
|
|
Face Detection (Q)
|
100% |
22279
264.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12188
93.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
21323
164.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
24524
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28669
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40012
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82133
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5158
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9256
341.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14561
539.3 IPS |
|
|
Text Classification (SP)
|
71% |
1592
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
2493
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2513
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3021
52.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3084
53.1 IPS |
