Dell Inc. Dell Slim ECS1250
Geekbench AI Score
2757
Single Precision Score
4748
Half Precision Score
7634
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocomcc |
| Upload Date | October 16 2025 03:55 AM |
| Views | 16 |
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 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% |
1785
332.0 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.7 IPS |
|
|
Image Classification (Q)
|
100% |
4872
906.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5165
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5403
6.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
5299
6.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
17298
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
99% |
2962
235.0 IPS |
|
|
Object Detection (Q)
|
88% |
5116
410.0 IPS |
|
|
Face Detection (SP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
7183
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
12686
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11175
86.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13103
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13253
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19627
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40630
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8354
309.4 IPS |
|
|
Text Classification (SP)
|
71% |
1163
1.68 KIPS |
|
|
Text Classification (HP)
|
71% |
1953
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2214
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2380
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2419
41.8 IPS |
