Dell Pro Max Tower T2 FCT2250 OpenVINO CPU Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
7001
Single Precision Score
4955
Half Precision Score
17357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jrybolt |
| Upload Date | June 17 2025 08:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4348
808.6 IPS |
|
|
Image Classification (HP)
|
100% |
3254
605.2 IPS |
|
|
Image Classification (Q)
|
100% |
10719
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5572
90.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12605
204.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8313
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
32502
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4048
321.1 IPS |
|
|
Object Detection (HP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (Q)
|
88% |
11589
929.0 IPS |
|
|
Face Detection (SP)
|
100% |
11573
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
9849
117.0 IPS |
|
|
Face Detection (Q)
|
100% |
30589
363.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10147
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7860
60.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
31772
247.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25226
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16204
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90133
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5185
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3574
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17306
640.9 IPS |
|
|
Text Classification (SP)
|
100% |
4097
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6046
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5514
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5323
91.7 IPS |
