Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
9596
Single Precision Score
18761
Half Precision Score
6637
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 01:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 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% |
3820
710.4 IPS |
|
|
Image Classification (HP)
|
99% |
8074
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3196
596.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6425
104.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11299
183.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5054
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34973
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
128879
150.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29610
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4653
369.1 IPS |
|
|
Object Detection (HP)
|
100% |
9913
786.3 IPS |
|
|
Object Detection (Q)
|
84% |
3716
299.7 IPS |
|
|
Face Detection (SP)
|
100% |
10228
121.5 IPS |
|
|
Face Detection (HP)
|
100% |
19044
226.3 IPS |
|
|
Face Detection (Q)
|
97% |
8487
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21279
163.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47769
368.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15566
124.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66902
86.0 IPS |
|
|
Style Transfer (HP)
|
100% |
188303
242.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53432
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14882
549.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25496
941.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8595
318.3 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |
