Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
6984
Single Precision Score
2361
Half Precision Score
11102
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | LaCosaMia |
| Upload Date | July 30 2025 02:45 PM |
| Views | 15 |
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% |
5502
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
99% |
9744
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15520
252.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16636
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
52524
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
5298
420.2 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.1 IPS |
|
|
Object Detection (Q)
|
86% |
11728
942.6 IPS |
|
|
Face Detection (SP)
|
100% |
15672
186.2 IPS |
|
|
Face Detection (HP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (Q)
|
97% |
12629
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16692
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3428
26.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25589
204.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33568
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21014
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32570
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3141
116.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5464
202.3 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3795
76.3 IPS |
