Micro-Star International Co., Ltd. Modern 14 B5M
Geekbench AI Score
2349
Single Precision Score
2397
Half Precision Score
3130
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | somata |
| Upload Date | August 20 2024 01:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 14 B5M |
| Motherboard | Micro-Star International Co., Ltd. MS-14DL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (Q)
|
100% |
2017
375.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2292
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3758
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
4882
5.73 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (Q)
|
87% |
2136
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2916
34.7 IPS |
|
|
Face Detection (Q)
|
97% |
6420
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4420
34.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4368
33.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
5622
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10431
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10610
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13908
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2844
105.3 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (Q)
|
91% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1527
26.5 IPS |
