Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
7940
Single Precision Score
10400
Half Precision Score
16061
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 22 2025 06:29 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% |
5295
984.8 IPS |
|
|
Image Classification (HP)
|
100% |
7294
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10359
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7834
127.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12381
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34213
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75390
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5321
422.1 IPS |
|
|
Object Detection (HP)
|
100% |
6244
495.3 IPS |
|
|
Object Detection (Q)
|
88% |
10539
844.9 IPS |
|
|
Face Detection (SP)
|
100% |
13300
158.0 IPS |
|
|
Face Detection (HP)
|
100% |
18986
225.6 IPS |
|
|
Face Detection (Q)
|
100% |
34457
409.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12582
96.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18603
143.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34276
266.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25950
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54540
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
98690
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7307
269.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16292
601.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31643
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2267
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4744
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4828
83.2 IPS |
