Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
7042
Single Precision Score
2451
Half Precision Score
8956
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5786
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
748
139.0 IPS |
|
|
Image Classification (Q)
|
99% |
10386
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4170
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14923
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
51272
60.1 IPS |
|
|
Object Detection (SP)
|
100% |
5162
409.5 IPS |
|
|
Object Detection (HP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (Q)
|
86% |
9796
787.3 IPS |
|
|
Face Detection (SP)
|
100% |
14675
174.4 IPS |
|
|
Face Detection (HP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
13621
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17004
131.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3472
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24986
199.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34254
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21014
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23850
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6988
258.8 IPS |
|
|
Text Classification (SP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
678
908.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3969
79.8 IPS |
