Dell Inc. Dell Slim ECS1250
Geekbench AI Score
2388
Single Precision Score
3513
Half Precision Score
1584
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocomcc |
| Upload Date | October 16 2025 03:50 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Slim ECS1250 |
| Motherboard | Dell Inc. 0VPR72 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1168
217.1 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (Q)
|
99% |
873
162.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2625
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1074
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4223
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
3913
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.8 IPS |
|
|
Object Detection (HP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (Q)
|
86% |
998
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
97% |
1727
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4688
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8071
62.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3343
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12064
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19168
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9039
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4071
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1622
60.1 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
599
798.9 IPS |
|
|
Text Classification (Q)
|
97% |
485
649.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
97% |
1749
30.2 IPS |
|
|
Machine Translation (Q)
|
70% |
662
12.4 IPS |
