Dell Inc. Precision 5530 / Ubuntu 24.04.3 LTS on WSL2 / Windows 11 Pro 25H2 N/A
Geekbench AI Score
2276
Single Precision Score
2459
Half Precision Score
3463
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | edsvo |
| Upload Date | September 25 2025 10:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8850H CPU @ 2.60GHz |
| 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% |
1140
211.9 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (Q)
|
100% |
2747
510.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
4365
5.12 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (Q)
|
87% |
2405
192.9 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
6240
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3366
25.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
6040
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7058
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
8352
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14605
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3099
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (Q)
|
91% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2025
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2342
40.3 IPS |
