UGREEN DXP480T Plus
Geekbench AI Score
2103
Single Precision Score
2144
Half Precision Score
4872
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1235U |
| 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% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
1304
242.6 IPS |
|
|
Image Classification (Q)
|
100% |
2946
547.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2732
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
8531
9.99 IPS |
|
|
Object Detection (SP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (HP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (Q)
|
88% |
2797
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
6817
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3531
27.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
3409
26.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
8094
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8194
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8110
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23924
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.7 IPS |
|
|
Text Classification (HP)
|
100% |
729
973.3 IPS |
|
|
Text Classification (Q)
|
92% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (Q)
|
85% |
3173
55.5 IPS |
