Dell Inc. Precision 5530 / Ubuntu 24.04.3 LTS on WSL2 / Windows 11 Pro 25H2 N/A
Geekbench AI Score
1602
Single Precision Score
474
Half Precision Score
2694
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | edsvo |
| Upload Date | September 25 2025 10:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (Q)
|
94% |
2727
509.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1416
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
4573
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
58% |
1666
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.07 IPS |
|
|
Face Detection (Q)
|
96% |
5776
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2639
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
690
5.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
5245
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5813
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4534
5.83 IPS |
|
|
Style Transfer (Q)
|
87% |
8645
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1729
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
383
511.4 IPS |
|
|
Text Classification (Q)
|
97% |
976
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
68% |
1549
29.9 IPS |
