Dell Inc. Dell Pro Max Slim FCS1250
Geekbench AI Score
21344
Single Precision Score
35568
Half Precision Score
16359
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 SFF Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max Slim FCS1250 |
| Motherboard | Dell Inc. 0HR3HW |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
8699
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
14940
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
7841
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17390
281.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25317
410.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15468
251.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
99963
116.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
277271
323.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
81892
95.9 IPS |
|
|
Object Detection (SP)
|
100% |
10321
818.7 IPS |
|
|
Object Detection (HP)
|
100% |
18902
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
8901
716.5 IPS |
|
|
Face Detection (SP)
|
100% |
28624
340.1 IPS |
|
|
Face Detection (HP)
|
100% |
45794
544.1 IPS |
|
|
Face Detection (Q)
|
97% |
23589
281.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47147
363.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88025
678.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
37932
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
174132
223.8 IPS |
|
|
Style Transfer (HP)
|
100% |
446035
573.4 IPS |
|
|
Style Transfer (Q)
|
98% |
155790
200.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35159
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46587
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26071
965.4 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3817
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5024
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5113
88.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2294
43.0 IPS |
