Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
6501
Single Precision Score
10312
Half Precision Score
15913
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 22 2025 06:22 PM |
| Views | 3 |
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% |
5792
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7147
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9976
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7814
126.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8694
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34230
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75374
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
3370
267.3 IPS |
|
|
Object Detection (HP)
|
100% |
6156
488.3 IPS |
|
|
Object Detection (Q)
|
88% |
10440
837.0 IPS |
|
|
Face Detection (SP)
|
100% |
13134
156.1 IPS |
|
|
Face Detection (HP)
|
100% |
18851
224.0 IPS |
|
|
Face Detection (Q)
|
100% |
33995
403.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10835
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18621
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34637
269.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23338
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54286
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98599
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16263
600.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31673
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4775
82.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4806
82.8 IPS |
