Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
10000
Single Precision Score
9674
Half Precision Score
14994
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 01:40 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% |
6544
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7109
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10045
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8711
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3952
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15443
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34128
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74757
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
6059
480.6 IPS |
|
|
Object Detection (HP)
|
100% |
5919
469.5 IPS |
|
|
Object Detection (Q)
|
87% |
9877
792.7 IPS |
|
|
Face Detection (SP)
|
100% |
16224
192.8 IPS |
|
|
Face Detection (HP)
|
100% |
15800
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
27715
329.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14764
113.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17063
131.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31976
248.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43657
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48599
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90755
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9550
352.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14242
525.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26129
967.6 IPS |
|
|
Text Classification (SP)
|
100% |
4313
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2175
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4353
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4287
73.8 IPS |
