Dell Inc. Dell Slim ECS1250
Geekbench AI Score
4479
Single Precision Score
2058
Half Precision Score
8577
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocomcc |
| Upload Date | October 16 2025 03:36 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225 |
| 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% |
3503
651.5 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
99% |
7863
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10009
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7520
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
25727
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3220
255.4 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
86% |
7893
634.4 IPS |
|
|
Face Detection (SP)
|
100% |
7554
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
10301
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9443
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2803
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16937
135.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17113
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14503
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19962
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6210
229.9 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1658
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2590
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3762
75.6 IPS |
