UGREEN DXP4800 Plus
Geekbench AI Score
878
Single Precision Score
887
Half Precision Score
524
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | sanchorubyroid |
| Upload Date | March 11 2026 05:29 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Pentium Gold 8505 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | UGREEN DXP4800 Plus |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Pentium Gold 8505 |
| Topology | 1 Processor, 5 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (Q)
|
99% |
342
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
394
6.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
1057
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
802
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
85% |
354
28.5 IPS |
|
|
Face Detection (SP)
|
100% |
1180
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
866
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1121
8.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
680
6.37 IPS |
|
|
Style Transfer (SP)
|
100% |
1885
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1899
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1861
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
449
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.1 IPS |
|
|
Text Classification (HP)
|
100% |
721
961.9 IPS |
|
|
Text Classification (Q)
|
92% |
273
366.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
58% |
308
7.24 IPS |
