Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
5495
Single Precision Score
10262
Half Precision Score
15723
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 22 2025 06:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3958
736.1 IPS |
|
|
Image Classification (HP)
|
100% |
7070
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9847
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5365
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10322
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34134
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75038
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
2167
171.9 IPS |
|
|
Object Detection (HP)
|
100% |
6162
488.8 IPS |
|
|
Object Detection (Q)
|
88% |
10342
829.1 IPS |
|
|
Face Detection (SP)
|
100% |
6946
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
18896
224.5 IPS |
|
|
Face Detection (Q)
|
100% |
33961
403.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7748
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18390
141.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33869
263.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23268
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54381
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
97404
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4283
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16149
596.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31223
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4787
82.5 IPS |
