Micro-Star International Co., Ltd. PRO RPL-U Cubi NUC 1M (MS-B0B1)
Geekbench AI Score
1449
Single Precision Score
389
Half Precision Score
1864
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 12:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1100
204.6 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
1717
320.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
947
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
7262
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
1013
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (Q)
|
88% |
876
70.2 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
179
2.12 IPS |
|
|
Face Detection (Q)
|
97% |
2129
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2757
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
468
3.61 IPS |
|
|
Depth Estimation (Q)
|
76% |
4216
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5722
7.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3707
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
9616
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1805
66.8 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
379
505.5 IPS |
|
|
Text Classification (Q)
|
97% |
318
426.3 IPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (Q)
|
60% |
993
22.2 IPS |
