Dell Inc. Precision 5550
Geekbench AI Score
1400
Single Precision Score
1395
Half Precision Score
817
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | nhurst |
| Upload Date | December 15 2025 06:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| 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% |
1108
206.1 IPS |
|
|
Image Classification (HP)
|
100% |
1117
207.8 IPS |
|
|
Image Classification (Q)
|
99% |
547
102.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1670
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
1447
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (Q)
|
85% |
570
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1263
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1672
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1646
12.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1073
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2142
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2120
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2936
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
755
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (Q)
|
92% |
403
541.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
58% |
371
8.71 IPS |
