Dell Inc. Dell Pro Max Slim FCS1250
Geekbench AI Score
3494
Single Precision Score
4993
Half Precision Score
7616
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3921
729.2 IPS |
|
|
Image Classification (HP)
|
100% |
6019
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
7780
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3383
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8476
137.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11139
180.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12072
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11393
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38141
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
3490
276.8 IPS |
|
|
Object Detection (HP)
|
100% |
5780
458.5 IPS |
|
|
Object Detection (Q)
|
88% |
9124
731.1 IPS |
|
|
Face Detection (SP)
|
100% |
6875
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
13962
165.9 IPS |
|
|
Face Detection (Q)
|
100% |
22026
261.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12381
95.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12531
96.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14479
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19429
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24215
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
56048
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4074
150.9 IPS |
|
|
Text Classification (SP)
|
71% |
144
208.5 IPS |
|
|
Text Classification (HP)
|
71% |
180
260.4 IPS |
|
|
Text Classification (Q)
|
92% |
180
241.2 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
98% |
999
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1663
28.7 IPS |
