Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
34278
Single Precision Score
58184
Half Precision Score
26037
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 01:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 4500 Blackwell |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 0D8XDK |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13126
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
19920
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11473
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26615
431.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37711
611.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23666
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
222101
259.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
666195
777.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
188029
220.2 IPS |
|
|
Object Detection (SP)
|
100% |
17371
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
26354
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
14836
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
51553
612.6 IPS |
|
|
Face Detection (HP)
|
100% |
76745
911.9 IPS |
|
|
Face Detection (Q)
|
97% |
42908
511.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
83478
643.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
165187
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63666
508.4 IPS |
|
|
Style Transfer (SP)
|
100% |
316882
407.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1023928
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
278858
359.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48419
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78333
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37925
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4877
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6767
116.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6800
117.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2938
55.1 IPS |
