Micro-Star International Co., Ltd. PRO RPL-U Cubi NUC 1M (MS-B0B1)
Geekbench ML Score
2280
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:42 PM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1076
201.3 IPS |
|
|
Image Classification (F16)
|
100% |
1065
199.4 IPS |
|
|
Image Classification (I8)
|
100% |
860
160.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1682
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1729
28.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1295
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
10799
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
10823
13.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
5458
6.61 IPS |
|
|
Object Detection (F32)
|
100% |
1272
95.0 IPS |
|
|
Object Detection (F16)
|
100% |
1178
88.0 IPS |
|
|
Object Detection (I8)
|
54% |
968
72.2 IPS |
|
|
Face Detection (F32)
|
100% |
2468
29.3 IPS |
|
|
Face Detection (F16)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (I8)
|
89% |
1674
19.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5508
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5490
42.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3935
30.5 IPS |
|
|
Style Transfer (F32)
|
100% |
23572
31.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23262
30.6 IPS |
|
|
Style Transfer (I8)
|
98% |
14479
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3318
118.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3325
118.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1419
50.7 IPS |
|
|
Text Classification (F32)
|
100% |
823
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
818
1.18 KIPS |
|
|
Text Classification (I8)
|
98% |
411
590.4 IPS |
|
|
Machine Translation (F32)
|
100% |
897
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (I8)
|
70% |
492
9.05 IPS |
