Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
6486
Single Precision Score
2416
Half Precision Score
10819
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 12:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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% |
5386
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (Q)
|
99% |
8853
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16021
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15533
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8157
9.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
50080
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
4764
377.9 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
86% |
11088
891.1 IPS |
|
|
Face Detection (SP)
|
100% |
13793
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
13822
164.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14664
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3209
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22017
175.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31225
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20606
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26770
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4013
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3387
125.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6190
229.2 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1519
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2957
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3643
73.2 IPS |
