Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
16926
Single Precision Score
34904
Half Precision Score
13248
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 05:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7103
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
15546
2.89 KIPS |
|
|
Image Classification (Q)
|
99% |
6444
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12671
205.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22390
363.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11765
191.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
67858
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
242784
283.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
66253
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
8910
706.7 IPS |
|
|
Object Detection (HP)
|
100% |
17213
1.37 KIPS |
|
|
Object Detection (Q)
|
87% |
7984
640.7 IPS |
|
|
Face Detection (SP)
|
100% |
21675
257.5 IPS |
|
|
Face Detection (HP)
|
100% |
40054
475.9 IPS |
|
|
Face Detection (Q)
|
97% |
19286
230.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37366
287.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89208
687.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
31732
253.7 IPS |
|
|
Style Transfer (SP)
|
100% |
107993
138.8 IPS |
|
|
Style Transfer (HP)
|
100% |
403109
518.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88646
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22468
829.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50043
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17642
653.3 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4487
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2137
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5705
98.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2031
38.1 IPS |
