UGREEN DXP480T Plus
Geekbench AI Score
3257
Single Precision Score
4573
Half Precision Score
7324
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | UGREEN DXP480T Plus |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3114
579.0 IPS |
|
|
Image Classification (Q)
|
99% |
4371
815.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4503
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5355
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
5120
5.97 IPS |
|
|
Pose Estimation (Q)
|
97% |
23123
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1941
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
2893
229.5 IPS |
|
|
Object Detection (Q)
|
90% |
4438
354.8 IPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8058
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
12659
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7092
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11295
87.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
16066
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17445
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25654
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
50515
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9317
345.1 IPS |
|
|
Text Classification (SP)
|
71% |
1081
1.56 KIPS |
|
|
Text Classification (HP)
|
71% |
1303
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1092
18.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1433
24.8 IPS |
|
|
Machine Translation (Q)
|
89% |
1592
27.7 IPS |
