Dell Inc. Dell Pro Max Tower T2 FCT2250
Geekbench AI Score
2818
Single Precision Score
2856
Half Precision Score
2246
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 31 2025 11:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Dell Inc. Dell Pro Max Tower T2 FCT2250 |
| Motherboard | Dell Inc. 02RY37 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2532
471.0 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.3 IPS |
|
|
Image Classification (Q)
|
99% |
1869
348.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1815
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3759
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3732
4.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
5996
7.03 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (Q)
|
85% |
1938
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (Q)
|
97% |
2863
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3009
23.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2498
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3919
5.04 IPS |
|
|
Style Transfer (HP)
|
100% |
4024
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
8847
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2474
91.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2407
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2737
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (Q)
|
58% |
597
14.0 IPS |
