Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
5012
Single Precision Score
2120
Half Precision Score
9111
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 05:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
4464
830.1 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
99% |
9038
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15901
258.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14304
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
37213
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
992
78.7 IPS |
|
|
Object Detection (Q)
|
86% |
9055
727.7 IPS |
|
|
Face Detection (SP)
|
100% |
7346
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
11625
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12011
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3049
23.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14623
116.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28406
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19374
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18785
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2823
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3447
69.3 IPS |
