Dell Inc. Precision 5530 / Fedora Linux 42 Workstation Dell Inc. Precision 5530
Geekbench AI Score
2066
Single Precision Score
585
Half Precision Score
3040
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | edsvo |
| Upload Date | September 25 2025 08:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | Dell Inc. Precision 5530 |
| Motherboard | Dell Inc. 0N0DK2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.4 IPS |
|
|
Image Classification (Q)
|
94% |
2795
522.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3532
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
5652
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
58% |
1830
200.0 IPS |
|
|
Face Detection (SP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
96% |
5957
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3878
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
762
5.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
5668
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8433
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6456
8.30 IPS |
|
|
Style Transfer (Q)
|
87% |
9724
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1588
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1988
73.7 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.9 IPS |
|
|
Text Classification (Q)
|
97% |
1176
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
68% |
1764
34.1 IPS |
