Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
5552
Single Precision Score
8704
Half Precision Score
13066
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 03:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3807
708.1 IPS |
|
|
Image Classification (HP)
|
100% |
5688
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7527
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3941
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8793
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12260
198.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11575
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10813
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35015
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3530
280.0 IPS |
|
|
Object Detection (HP)
|
100% |
5493
435.7 IPS |
|
|
Object Detection (Q)
|
88% |
8937
716.2 IPS |
|
|
Face Detection (SP)
|
100% |
7968
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
15291
181.7 IPS |
|
|
Face Detection (Q)
|
100% |
23410
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12192
93.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
21356
165.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24431
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28683
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38818
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80565
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9102
336.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14207
526.1 IPS |
|
|
Text Classification (SP)
|
71% |
1508
2.18 KIPS |
|
|
Text Classification (HP)
|
71% |
2401
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3036
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3073
52.9 IPS |
