UGREEN DXP480T Plus
Geekbench AI Score
1824
Single Precision Score
484
Half Precision Score
2467
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
99% |
2045
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1890
2.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
9473
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
88% |
1198
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
226
2.69 IPS |
|
|
Face Detection (Q)
|
97% |
2625
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3635
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
621
4.78 IPS |
|
|
Depth Estimation (Q)
|
76% |
5167
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7238
9.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4841
6.22 IPS |
|
|
Style Transfer (Q)
|
98% |
10913
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2489
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
1095
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
416
554.6 IPS |
|
|
Text Classification (Q)
|
97% |
413
553.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
60% |
1431
31.9 IPS |
