Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
1319
Single Precision Score
340
Half Precision Score
1643
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | November 29 2024 05:32 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% |
778
144.7 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.3 IPS |
|
|
Image Classification (Q)
|
99% |
1337
249.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1439
1.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
6430
7.54 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.4 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (Q)
|
88% |
817
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (Q)
|
97% |
2025
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2687
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
447
3.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
3875
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5606
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3478
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9724
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
624
832.7 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (Q)
|
97% |
254
340.8 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
60% |
956
21.3 IPS |
