Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
1281
Single Precision Score
327
Half Precision Score
1672
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 04 2024 02:53 PM |
| Views | 17 |
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% |
741
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.1 IPS |
|
|
Image Classification (Q)
|
99% |
1362
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2127
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1408
1.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
6262
7.34 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
98
7.74 IPS |
|
|
Object Detection (Q)
|
88% |
795
63.8 IPS |
|
|
Face Detection (SP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
154
1.83 IPS |
|
|
Face Detection (Q)
|
97% |
1956
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2606
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
3827
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5381
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3392
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
9417
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1575
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
639
853.0 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.3 IPS |
|
|
Text Classification (Q)
|
97% |
238
318.8 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
60% |
921
20.5 IPS |
