Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
30703
Single Precision Score
51546
Half Precision Score
23419
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | craigwood2012 |
| Upload Date | December 22 2025 05:32 PM |
| Views | 10 |
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% |
12387
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
18245
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10591
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23588
382.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32965
534.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20885
339.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
171260
199.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
650011
758.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
154072
180.5 IPS |
|
|
Object Detection (SP)
|
100% |
14744
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
23845
1.89 KIPS |
|
|
Object Detection (Q)
|
86% |
12837
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
46031
546.9 IPS |
|
|
Face Detection (HP)
|
100% |
63125
750.1 IPS |
|
|
Face Detection (Q)
|
97% |
38521
459.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
79152
609.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
137515
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61227
488.9 IPS |
|
|
Style Transfer (SP)
|
100% |
305638
392.9 IPS |
|
|
Style Transfer (HP)
|
100% |
911081
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
254428
328.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43248
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69318
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32584
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2027
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6192
106.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2863
53.7 IPS |
