Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
31126
Single Precision Score
52458
Half Precision Score
23857
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 22 2025 05:48 PM |
| Views | 6 |
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% |
12722
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
18940
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
11383
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24327
394.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34418
557.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21166
344.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
169522
197.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
661495
771.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
152067
178.1 IPS |
|
|
Object Detection (SP)
|
100% |
15755
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
23431
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
13220
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
46857
556.8 IPS |
|
|
Face Detection (HP)
|
100% |
66503
790.2 IPS |
|
|
Face Detection (Q)
|
97% |
39506
471.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
81616
628.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
139509
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61213
488.8 IPS |
|
|
Style Transfer (SP)
|
100% |
297459
382.4 IPS |
|
|
Style Transfer (HP)
|
100% |
895547
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
248640
320.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42415
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70714
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33965
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4298
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6186
106.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2894
54.3 IPS |
