Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
30547
Single Precision Score
50990
Half Precision Score
23538
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 23 2025 12:37 AM |
| 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% |
12555
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
18213
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11314
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23952
388.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33622
545.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21096
343.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
171530
200.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
648472
756.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
154470
180.9 IPS |
|
|
Object Detection (SP)
|
100% |
15490
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
23265
1.85 KIPS |
|
|
Object Detection (Q)
|
86% |
13074
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
46848
556.7 IPS |
|
|
Face Detection (HP)
|
100% |
64784
769.8 IPS |
|
|
Face Detection (Q)
|
97% |
38432
458.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
79960
616.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
137716
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60566
483.6 IPS |
|
|
Style Transfer (SP)
|
100% |
302026
388.3 IPS |
|
|
Style Transfer (HP)
|
100% |
910814
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
255339
329.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41477
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62217
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31801
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6244
107.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6254
107.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2879
54.0 IPS |
