Dell Inc. Precision 5550
Geekbench AI Score
1440
Single Precision Score
1437
Half Precision Score
888
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (Q)
|
99% |
595
110.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
687
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1713
2.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
1685
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1560
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
85% |
625
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1681
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
1409
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1676
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1672
12.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1179
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2037
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2030
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3043
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
840
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
446
599.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (Q)
|
58% |
407
9.56 IPS |
