Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
31440
Single Precision Score
53662
Half Precision Score
24140
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 22 2025 05:50 PM |
| Views | 9 |
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 | 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% |
12879
2.40 KIPS |
|
|
Image Classification (HP)
|
100% |
19023
3.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11316
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24143
391.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34505
559.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21626
351.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
170300
198.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
664310
775.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
155215
181.8 IPS |
|
|
Object Detection (SP)
|
100% |
15991
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
24316
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
13454
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
47109
559.8 IPS |
|
|
Face Detection (HP)
|
100% |
68273
811.2 IPS |
|
|
Face Detection (Q)
|
97% |
39570
471.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
80598
621.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
139373
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60957
486.8 IPS |
|
|
Style Transfer (SP)
|
100% |
296623
381.3 IPS |
|
|
Style Transfer (HP)
|
100% |
950152
1.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
254323
327.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44146
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72213
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34013
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4425
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2161
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6359
109.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6465
111.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2917
54.7 IPS |
