Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
988
Single Precision Score
543
Half Precision Score
1018
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 25 2024 09:00 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 1700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7C02 |
| Motherboard | Micro-Star International Co., Ltd B450 TOMAHAWK (MS-7C02) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
96% |
786
146.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
826
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (Q)
|
87% |
2082
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
86% |
558
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (Q)
|
96% |
1409
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1807
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
1929
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4792
6.16 IPS |
|
|
Style Transfer (HP)
|
100% |
3842
4.94 IPS |
|
|
Style Transfer (Q)
|
87% |
5068
6.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
755
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
809
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
570
760.2 IPS |
|
|
Text Classification (HP)
|
100% |
252
337.0 IPS |
|
|
Text Classification (Q)
|
97% |
203
271.9 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
60% |
701
15.6 IPS |
