Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
8581
Single Precision Score
10042
Half Precision Score
15266
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 01:00 PM |
| Views | 1 |
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 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% |
5152
958.2 IPS |
|
|
Image Classification (HP)
|
100% |
7044
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9855
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7653
124.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14381
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34949
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74968
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
5024
398.5 IPS |
|
|
Object Detection (HP)
|
100% |
6106
484.3 IPS |
|
|
Object Detection (Q)
|
87% |
9999
802.5 IPS |
|
|
Face Detection (SP)
|
100% |
14626
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
17760
211.0 IPS |
|
|
Face Detection (Q)
|
100% |
33535
398.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13002
100.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18725
144.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34517
268.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36814
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53699
69.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98477
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7162
264.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14363
530.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23888
884.7 IPS |
|
|
Text Classification (SP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2098
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4563
78.6 IPS |
