Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
16304
Single Precision Score
26782
Half Precision Score
13030
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 19 2025 05:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
6420
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
10556
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
5686
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11441
185.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16118
261.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10704
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
86246
100.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
243642
284.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75033
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
8098
642.4 IPS |
|
|
Object Detection (HP)
|
100% |
13202
1.05 KIPS |
|
|
Object Detection (Q)
|
84% |
7146
576.4 IPS |
|
|
Face Detection (SP)
|
100% |
18898
224.5 IPS |
|
|
Face Detection (HP)
|
100% |
29269
347.8 IPS |
|
|
Face Detection (Q)
|
97% |
17293
206.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41461
319.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78354
603.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
33581
268.6 IPS |
|
|
Style Transfer (SP)
|
100% |
135234
173.8 IPS |
|
|
Style Transfer (HP)
|
100% |
329956
424.2 IPS |
|
|
Style Transfer (Q)
|
98% |
121659
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27561
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40811
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20747
768.2 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3148
4.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1685
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1751
32.8 IPS |
