Dell Inc. Precision 5530 / Fedora Linux 43 Beta KDE Plasma Desktop Dell Inc. Precision 5530
Geekbench AI Score
1377
Single Precision Score
1369
Half Precision Score
787
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | edsvo |
| Upload Date | October 03 2025 09:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (KDE Plasma Desktop Edition Prerelease) |
| 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% |
1111
206.5 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.9 IPS |
|
|
Image Classification (Q)
|
99% |
516
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
640
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1630
1.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1442
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.7 IPS |
|
|
Object Detection (HP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (Q)
|
85% |
515
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1121
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1069
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2122
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2122
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3050
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
801
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
359
481.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (Q)
|
58% |
358
8.42 IPS |
