Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
45451
Single Precision Score
66818
Half Precision Score
34433
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 09:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 02RY37 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16123
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
20997
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
13685
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34442
558.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42401
687.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31282
508.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
391786
457.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
965874
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
306631
359.2 IPS |
|
|
Object Detection (SP)
|
100% |
22026
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
27541
2.18 KIPS |
|
|
Object Detection (Q)
|
84% |
18695
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
70127
833.3 IPS |
|
|
Face Detection (HP)
|
100% |
86442
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
59386
708.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
114779
884.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
185308
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
87348
699.6 IPS |
|
|
Style Transfer (SP)
|
100% |
605425
778.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1633418
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
546732
705.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66681
2.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90368
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49012
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6597
113.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6701
115.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3049
57.2 IPS |
