Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
9714
Single Precision Score
9947
Half Precision Score
15301
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 04:09 PM |
| Views | 4 |
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(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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6309
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6930
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9611
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8613
139.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3872
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14411
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34253
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74698
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
5909
468.7 IPS |
|
|
Object Detection (HP)
|
100% |
6232
494.3 IPS |
|
|
Object Detection (Q)
|
87% |
10256
823.1 IPS |
|
|
Face Detection (SP)
|
100% |
17721
210.6 IPS |
|
|
Face Detection (HP)
|
100% |
16405
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
28446
338.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15448
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18335
141.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34859
271.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40374
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51801
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95677
123.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8595
317.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14559
537.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26268
972.8 IPS |
|
|
Text Classification (SP)
|
100% |
4164
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2245
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4411
76.0 IPS |
