Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
4649
Single Precision Score
6433
Half Precision Score
3144
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 22 2025 05:38 PM |
| Views | 6 |
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 Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2764
514.0 IPS |
|
|
Image Classification (HP)
|
100% |
3785
703.9 IPS |
|
|
Image Classification (Q)
|
99% |
1989
370.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3178
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5442
88.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2182
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8588
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13345
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
7602
8.90 IPS |
|
|
Object Detection (SP)
|
100% |
2927
232.2 IPS |
|
|
Object Detection (HP)
|
100% |
4513
357.9 IPS |
|
|
Object Detection (Q)
|
86% |
2184
175.6 IPS |
|
|
Face Detection (SP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
9269
110.1 IPS |
|
|
Face Detection (Q)
|
97% |
3666
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10167
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15802
122.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7315
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27566
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42562
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20971
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7499
276.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3363
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
692
926.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2417
41.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2630
45.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1002
18.8 IPS |
