Dell Inc. Precision 5550
Geekbench AI Score
2802
Single Precision Score
2825
Half Precision Score
4149
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10850H CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 0V6K79 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.4 IPS |
|
|
Image Classification (Q)
|
100% |
2094
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2321
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
6623
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (Q)
|
87% |
3005
241.0 IPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (Q)
|
97% |
8310
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4628
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4665
35.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7897
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10169
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10409
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20489
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4464
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (Q)
|
91% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2938
50.6 IPS |
