Micro-Star International Co., Ltd. PRO RPL-U Cubi NUC 1M (MS-B0B1)
Geekbench ML Score
2394
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO RPL-U Cubi NUC 1M (MS-B0B1) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0B11 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 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% |
1250
234.0 IPS |
|
|
Image Classification (F16)
|
100% |
1251
234.1 IPS |
|
|
Image Classification (I8)
|
99% |
2267
424.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1077
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1139
19.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1904
31.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3130
3.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3400
4.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
10302
12.5 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
1371
102.3 IPS |
|
|
Object Detection (I8)
|
62% |
1339
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (F16)
|
100% |
2553
30.4 IPS |
|
|
Face Detection (I8)
|
89% |
3306
39.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4088
31.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4164
32.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8858
68.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8615
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8548
11.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14639
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1973
70.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1887
67.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3043
108.7 IPS |
|
|
Text Classification (F32)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1061
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
443
636.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1508
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1567
28.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2089
38.4 IPS |
