Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
8295
Single Precision Score
10385
Half Precision Score
16153
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 22 2025 09:35 PM |
| Views | 4 |
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 | Ultimate 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% |
6076
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
7260
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10202
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8125
131.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13460
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35210
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75270
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5874
466.0 IPS |
|
|
Object Detection (HP)
|
100% |
6201
491.9 IPS |
|
|
Object Detection (Q)
|
88% |
10541
845.0 IPS |
|
|
Face Detection (SP)
|
100% |
11304
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
18163
215.8 IPS |
|
|
Face Detection (Q)
|
100% |
34245
406.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11023
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18448
142.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34367
267.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26273
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54723
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
99682
128.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8131
300.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16349
603.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31936
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3829
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2252
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4935
85.0 IPS |
