Micro-Star International Co., Ltd. MS-7C51
Geekbench AI Score
2822
Single Precision Score
1344
Half Precision Score
3361
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 01:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C51 |
| Motherboard | Micro-Star International Co., Ltd. A320M-A PRO (MS-7C51) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
96% |
3979
743.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4589
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3766
4.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
9370
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.0 IPS |
|
|
Object Detection (Q)
|
58% |
2320
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
6251
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6327
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2049
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8422
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11239
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9501
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13047
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2430
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.1 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1937
37.4 IPS |
