Shuttle Inc. DS50U
Geekbench ML Score
2084
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 11 2024 10:35 AM |
| Views | 2 |
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 | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
942
176.2 IPS |
|
|
Image Classification (F16)
|
100% |
954
178.6 IPS |
|
|
Image Classification (I8)
|
99% |
1930
361.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
906
15.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2088
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2570
3.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
2792
3.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
9919
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1225
91.4 IPS |
|
|
Object Detection (F16)
|
100% |
1123
83.8 IPS |
|
|
Object Detection (I8)
|
62% |
1162
86.8 IPS |
|
|
Face Detection (F32)
|
100% |
1788
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
2622
31.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3381
26.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3454
26.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
7732
60.0 IPS |
|
|
Style Transfer (F32)
|
100% |
6581
8.66 IPS |
|
|
Style Transfer (F16)
|
100% |
6410
8.43 IPS |
|
|
Style Transfer (I8)
|
98% |
11101
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1645
58.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1609
57.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3011
107.5 IPS |
|
|
Text Classification (F32)
|
100% |
1087
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1163
1.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1159
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1211
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1204
22.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1844
33.9 IPS |
