Dell Inc. Dell Slim ECS1250
Geekbench AI Score
4959
Single Precision Score
3575
Half Precision Score
12926
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocomcc |
| Upload Date | October 16 2025 03:39 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3142
584.2 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (Q)
|
100% |
8096
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3577
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8843
143.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5774
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3833
4.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
22407
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2868
227.5 IPS |
|
|
Object Detection (HP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (Q)
|
88% |
8743
700.9 IPS |
|
|
Face Detection (SP)
|
100% |
7326
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
7052
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
21943
260.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7366
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5397
41.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
22325
173.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17201
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11190
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
63514
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2485
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12662
468.9 IPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
5267
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4475
77.1 IPS |
