Dell Inc. Precision 5530 / Ubuntu 25.10 Dell Inc. Precision 5530
Geekbench AI Score
1343
Single Precision Score
1336
Half Precision Score
760
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | edsvo |
| Upload Date | October 16 2025 07:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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 | 30.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1093
203.2 IPS |
|
|
Image Classification (HP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (Q)
|
99% |
486
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
590
9.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1571
1.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
1435
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
999
79.3 IPS |
|
|
Object Detection (HP)
|
100% |
980
77.7 IPS |
|
|
Object Detection (Q)
|
85% |
522
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
1097
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1035
9.71 IPS |
|
|
Style Transfer (SP)
|
100% |
2049
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2068
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2945
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
789
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
348
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
58% |
330
7.74 IPS |
