Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
2815
Single Precision Score
3757
Half Precision Score
5803
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 04 2024 03:33 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
99% |
2879
536.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4121
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5116
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
4382
5.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
19711
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (Q)
|
90% |
3261
260.8 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7322
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
10895
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9535
73.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
13376
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15607
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22146
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43373
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7147
264.7 IPS |
|
|
Text Classification (SP)
|
71% |
705
1.02 KIPS |
|
|
Text Classification (HP)
|
71% |
801
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1221
21.1 IPS |
|
|
Machine Translation (Q)
|
89% |
1315
22.9 IPS |
