Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
5535
Single Precision Score
8694
Half Precision Score
13059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 03:22 PM |
| Views | 4 |
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% |
3806
707.8 IPS |
|
|
Image Classification (HP)
|
100% |
5691
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7527
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3950
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8769
142.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12271
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11572
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10810
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
35000
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3533
280.3 IPS |
|
|
Object Detection (HP)
|
100% |
5504
436.6 IPS |
|
|
Object Detection (Q)
|
88% |
8947
717.0 IPS |
|
|
Face Detection (SP)
|
100% |
7813
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
15211
180.7 IPS |
|
|
Face Detection (Q)
|
100% |
23389
277.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12186
93.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
21338
164.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24454
190.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28672
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38731
49.8 IPS |
|
|
Style Transfer (Q)
|
98% |
80618
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9093
335.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14237
527.3 IPS |
|
|
Text Classification (SP)
|
71% |
1497
2.17 KIPS |
|
|
Text Classification (HP)
|
71% |
2391
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2490
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
96% |
3042
52.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3051
52.6 IPS |
