Dell Inc. Precision 5530 / Fedora Linux 42 Workstation Dell Inc. Precision 5530
Geekbench AI Score
2986
Single Precision Score
2980
Half Precision Score
4350
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | edsvo |
| Upload Date | September 25 2025 08:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8850H CPU @ 2.60GHz |
| 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.2 IPS |
|
|
Image Classification (Q)
|
100% |
3208
596.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3675
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3527
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3387
3.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
6366
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (Q)
|
87% |
2956
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
8024
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4444
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4461
34.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
7305
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9787
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9899
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18695
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4051
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
91% |
868
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2906
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2841
48.9 IPS |
