Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
1321
Single Precision Score
326
Half Precision Score
1962
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | December 06 2024 05:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0A81 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.8 IPS |
|
|
Image Classification (Q)
|
99% |
1325
247.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1312
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1454
1.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
6388
7.49 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.7 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.77 IPS |
|
|
Object Detection (Q)
|
88% |
799
64.0 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
151
1.80 IPS |
|
|
Face Detection (Q)
|
97% |
2083
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2713
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
424
3.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
3758
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5524
7.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3503
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
9604
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1685
62.4 IPS |
|
|
Text Classification (SP)
|
100% |
674
899.0 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.5 IPS |
|
|
Text Classification (Q)
|
97% |
745
997.7 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
60% |
1014
22.6 IPS |
