Dell Inc. Dell Pro Max Slim FCS1250
Geekbench AI Score
4461
Single Precision Score
6069
Half Precision Score
2977
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2630
489.1 IPS |
|
|
Image Classification (HP)
|
100% |
3748
696.9 IPS |
|
|
Image Classification (Q)
|
99% |
1841
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3107
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5018
81.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2108
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17047
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8768
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
4384
347.8 IPS |
|
|
Object Detection (Q)
|
86% |
1878
150.9 IPS |
|
|
Face Detection (SP)
|
100% |
5016
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
8246
98.0 IPS |
|
|
Face Detection (Q)
|
97% |
3360
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9549
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14341
110.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6903
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27002
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41826
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20279
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4524
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6878
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3135
116.1 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
600
800.2 IPS |
|
|
Text Classification (Q)
|
97% |
646
866.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2363
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
899
16.9 IPS |
