Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
45421
Single Precision Score
64957
Half Precision Score
34109
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 19 2025 09:59 AM |
| Views | 4 |
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 | 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16041
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
20721
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
13661
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34551
560.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
42421
687.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
29775
484.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
398959
465.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
960075
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
326484
382.4 IPS |
|
|
Object Detection (SP)
|
100% |
21794
1.73 KIPS |
|
|
Object Detection (HP)
|
100% |
26099
2.07 KIPS |
|
|
Object Detection (Q)
|
84% |
18888
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
71124
845.1 IPS |
|
|
Face Detection (HP)
|
100% |
84351
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
59675
711.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
112615
867.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
182725
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
85068
681.4 IPS |
|
|
Style Transfer (SP)
|
100% |
586633
754.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1638095
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
531467
685.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67439
2.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84648
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48001
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4459
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2227
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6566
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6372
109.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2947
55.3 IPS |
