UGREEN DXP480T Plus
Geekbench AI Score
2145
Single Precision Score
2125
Half Precision Score
4858
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:16 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (Q)
|
100% |
2953
549.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2863
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
8580
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (Q)
|
88% |
2818
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
7379
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3833
29.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
3394
26.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
6921
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8316
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8518
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23881
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.2 IPS |
|
|
Text Classification (HP)
|
100% |
724
966.9 IPS |
|
|
Text Classification (Q)
|
92% |
2172
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (Q)
|
85% |
3192
55.8 IPS |
