Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
1443
Single Precision Score
1427
Half Precision Score
3081
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 04 2024 03:11 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
814
151.4 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
100% |
1568
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1984
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2039
2.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
5943
6.96 IPS |
|
|
Object Detection (SP)
|
100% |
871
69.1 IPS |
|
|
Object Detection (HP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (Q)
|
88% |
1639
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
100% |
4794
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2529
19.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
2491
19.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
4806
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6091
7.83 IPS |
|
|
Style Transfer (HP)
|
100% |
6074
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
16448
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2648
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
384
512.1 IPS |
|
|
Text Classification (HP)
|
100% |
385
513.3 IPS |
|
|
Text Classification (Q)
|
92% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
85% |
1811
31.7 IPS |
