Dell Inc. Precision 5550
Geekbench AI Score
2097
Single Precision Score
666
Half Precision Score
3253
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 02:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 0V6K79 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1032
191.8 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
94% |
3183
594.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
6577
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
2023
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
1796
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
318
3.77 IPS |
|
|
Face Detection (Q)
|
96% |
6449
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4243
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
889
6.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
5925
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9237
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7354
9.45 IPS |
|
|
Style Transfer (Q)
|
87% |
10125
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1477
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2276
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
506
675.3 IPS |
|
|
Text Classification (Q)
|
97% |
1228
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1976
38.2 IPS |
