Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
9633
Single Precision Score
9823
Half Precision Score
15155
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 03:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5940
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6968
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9565
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8660
140.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14304
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34100
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74286
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
6023
477.7 IPS |
|
|
Object Detection (HP)
|
100% |
6151
487.9 IPS |
|
|
Object Detection (Q)
|
87% |
10162
815.5 IPS |
|
|
Face Detection (SP)
|
100% |
17072
202.9 IPS |
|
|
Face Detection (HP)
|
100% |
16127
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
28654
340.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14998
115.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18142
139.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34639
269.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40688
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51421
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94951
122.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8811
325.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14366
530.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25740
953.3 IPS |
|
|
Text Classification (SP)
|
100% |
4169
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2059
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2099
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4446
76.6 IPS |
