Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
10034
Single Precision Score
9639
Half Precision Score
14901
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 01:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6501
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
7036
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9613
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8809
142.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3952
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15524
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34172
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74877
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
6262
496.7 IPS |
|
|
Object Detection (HP)
|
100% |
5982
474.5 IPS |
|
|
Object Detection (Q)
|
87% |
10016
803.8 IPS |
|
|
Face Detection (SP)
|
100% |
16396
194.8 IPS |
|
|
Face Detection (HP)
|
100% |
15703
186.6 IPS |
|
|
Face Detection (Q)
|
100% |
27873
331.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14536
112.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17093
131.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31791
247.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42934
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48622
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90549
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9509
351.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14059
519.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25521
945.1 IPS |
|
|
Text Classification (SP)
|
100% |
4381
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2129
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4346
74.9 IPS |
