Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
6606
Single Precision Score
2335
Half Precision Score
10816
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | LaCosaMia |
| Upload Date | July 30 2025 02:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | Ultimative Leistung |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5438
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (Q)
|
99% |
8902
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1496
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15285
248.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15786
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7734
9.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
52168
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
4996
396.3 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
11333
910.8 IPS |
|
|
Face Detection (SP)
|
100% |
9750
115.9 IPS |
|
|
Face Detection (HP)
|
100% |
2017
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
12900
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16819
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3115
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
25672
204.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34837
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20972
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27840
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5361
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1458
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3782
76.0 IPS |
