Shuttle Inc. DS50U
Geekbench ML Score
2173
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 11 2024 11:42 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Shuttle Inc. DS50U |
| Motherboard | Shuttle Inc. DS50U |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1136
212.5 IPS |
|
|
Image Classification (F16)
|
100% |
1095
204.8 IPS |
|
|
Image Classification (I8)
|
100% |
864
161.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1578
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1577
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10210
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
10154
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
5341
6.47 IPS |
|
|
Object Detection (F32)
|
100% |
1047
78.1 IPS |
|
|
Object Detection (F16)
|
100% |
1081
80.7 IPS |
|
|
Object Detection (I8)
|
54% |
880
65.7 IPS |
|
|
Face Detection (F32)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (F16)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (I8)
|
89% |
1414
16.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5400
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5367
41.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3875
30.1 IPS |
|
|
Style Transfer (F32)
|
100% |
23117
30.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22866
30.1 IPS |
|
|
Style Transfer (I8)
|
98% |
14038
18.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3522
125.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3461
123.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1440
51.4 IPS |
|
|
Text Classification (F32)
|
100% |
778
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
786
1.13 KIPS |
|
|
Text Classification (I8)
|
98% |
391
562.0 IPS |
|
|
Machine Translation (F32)
|
100% |
831
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (I8)
|
70% |
468
8.61 IPS |
