Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
2776
Single Precision Score
1376
Half Precision Score
3668
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.75 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (Q)
|
96% |
3679
687.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1817
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
8847
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
58% |
2448
267.5 IPS |
|
|
Face Detection (SP)
|
100% |
4700
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
96% |
6890
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4788
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8900
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9639
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8123
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13667
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2890
107.1 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
443
593.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2844
54.9 IPS |
