Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
1330
Single Precision Score
341
Half Precision Score
1735
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | November 29 2024 05:45 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
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
73
13.7 IPS |
|
|
Image Classification (Q)
|
99% |
1369
255.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1102
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2207
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
6415
7.52 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.4 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.28 IPS |
|
|
Object Detection (Q)
|
88% |
834
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
163
1.94 IPS |
|
|
Face Detection (Q)
|
97% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2681
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
446
3.44 IPS |
|
|
Depth Estimation (Q)
|
76% |
3797
30.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5577
7.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3489
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9621
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1643
60.8 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.1 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.2 IPS |
|
|
Text Classification (Q)
|
97% |
252
337.2 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
60% |
963
21.5 IPS |
