Dell Pro Max Tower T2 FCT2250 DirectML Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
21172
Single Precision Score
35699
Half Precision Score
16527
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | June 17 2025 08:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 SFF 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(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8687
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
14914
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
7851
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16975
275.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24571
398.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15232
247.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
90808
106.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
270674
315.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
82680
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
10436
827.8 IPS |
|
|
Object Detection (HP)
|
100% |
18326
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
8969
722.1 IPS |
|
|
Face Detection (SP)
|
100% |
28040
333.2 IPS |
|
|
Face Detection (HP)
|
100% |
45939
545.9 IPS |
|
|
Face Detection (Q)
|
97% |
24428
291.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47282
364.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
89419
688.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
38243
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
175976
226.2 IPS |
|
|
Style Transfer (HP)
|
100% |
454678
584.5 IPS |
|
|
Style Transfer (Q)
|
98% |
159448
205.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34877
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47443
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25874
958.1 IPS |
|
|
Text Classification (SP)
|
100% |
3153
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1925
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2311
43.3 IPS |
