Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
4454
Single Precision Score
7682
Half Precision Score
12016
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 05:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3265
607.2 IPS |
|
|
Image Classification (HP)
|
100% |
5401
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
6960
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6275
101.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9457
153.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11692
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
11141
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
37527
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
3015
239.2 IPS |
|
|
Object Detection (HP)
|
100% |
5245
416.0 IPS |
|
|
Object Detection (Q)
|
88% |
8202
657.3 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
9751
115.9 IPS |
|
|
Face Detection (Q)
|
100% |
17251
205.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9695
74.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
18895
146.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24482
190.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26959
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38700
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86059
111.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4668
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8589
317.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14209
526.2 IPS |
|
|
Text Classification (SP)
|
71% |
1437
2.08 KIPS |
|
|
Text Classification (HP)
|
71% |
2127
3.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2165
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2775
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2771
47.9 IPS |
