Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
31643
Single Precision Score
54155
Half Precision Score
24303
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 22 2025 09:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
12695
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
17848
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11047
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23550
381.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34738
563.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21825
354.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
171647
200.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
679161
792.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
155388
182.0 IPS |
|
|
Object Detection (SP)
|
100% |
15938
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
24859
1.97 KIPS |
|
|
Object Detection (Q)
|
86% |
13169
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
47629
565.9 IPS |
|
|
Face Detection (HP)
|
100% |
68997
819.8 IPS |
|
|
Face Detection (Q)
|
97% |
40330
480.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80048
616.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
141046
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61914
494.4 IPS |
|
|
Style Transfer (SP)
|
100% |
304708
391.7 IPS |
|
|
Style Transfer (HP)
|
100% |
976242
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
258785
333.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43788
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69762
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34271
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2213
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6542
112.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6570
113.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2973
55.8 IPS |
