Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
44876
Single Precision Score
65069
Half Precision Score
34560
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 19 2025 09:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 02RY37 |
| Power Plan | High performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15037
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
19693
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
13466
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33269
539.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
40190
651.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
30121
489.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
397320
463.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
946325
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325561
381.3 IPS |
|
|
Object Detection (SP)
|
100% |
20821
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
25508
2.02 KIPS |
|
|
Object Detection (Q)
|
84% |
18946
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
66809
793.8 IPS |
|
|
Face Detection (HP)
|
100% |
84684
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
58400
696.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
113230
872.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
184212
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
87410
700.1 IPS |
|
|
Style Transfer (SP)
|
100% |
597878
768.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1601603
2.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
546054
704.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68984
2.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89519
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49589
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4912
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6400
110.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6483
111.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3050
57.2 IPS |
