Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
23721
Single Precision Score
37440
Half Precision Score
18279
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 01:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 0D8XDK |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9046
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
14753
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
8053
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18737
303.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25939
420.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16691
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
123092
143.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
321327
374.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
110829
129.9 IPS |
|
|
Object Detection (SP)
|
100% |
11285
895.1 IPS |
|
|
Object Detection (HP)
|
100% |
19089
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
9712
781.8 IPS |
|
|
Face Detection (SP)
|
100% |
32914
391.1 IPS |
|
|
Face Detection (HP)
|
100% |
47853
568.6 IPS |
|
|
Face Detection (Q)
|
97% |
27704
330.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55119
424.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94324
726.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
43982
351.2 IPS |
|
|
Style Transfer (SP)
|
100% |
210838
271.0 IPS |
|
|
Style Transfer (HP)
|
100% |
496368
638.1 IPS |
|
|
Style Transfer (Q)
|
98% |
187921
242.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38820
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48582
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28304
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4100
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1909
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2327
43.6 IPS |
