Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench ML Score
1395
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 05:52 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0A81 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 10.0 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% |
728
136.3 IPS |
|
|
Image Classification (F16)
|
100% |
713
133.5 IPS |
|
|
Image Classification (I8)
|
99% |
1331
249.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
690
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
680
11.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1072
17.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1694
2.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
1708
2.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
5755
6.97 IPS |
|
|
Object Detection (F32)
|
100% |
737
55.0 IPS |
|
|
Object Detection (F16)
|
100% |
738
55.1 IPS |
|
|
Object Detection (I8)
|
62% |
850
63.5 IPS |
|
|
Face Detection (F32)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (F16)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (I8)
|
89% |
2216
26.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2163
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2136
16.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
5110
39.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4269
5.62 IPS |
|
|
Style Transfer (F16)
|
100% |
4409
5.80 IPS |
|
|
Style Transfer (I8)
|
98% |
8798
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
995
35.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
999
35.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2035
72.7 IPS |
|
|
Text Classification (F32)
|
100% |
682
979.8 IPS |
|
|
Text Classification (F16)
|
100% |
671
964.0 IPS |
|
|
Text Classification (I8)
|
98% |
308
443.2 IPS |
|
|
Machine Translation (F32)
|
100% |
989
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
946
17.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1475
27.2 IPS |
