Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
2993
Single Precision Score
766
Half Precision Score
4021
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 20 2024 03:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
145
26.9 IPS |
|
|
Image Classification (Q)
|
97% |
3307
617.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
2899
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7226
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5386
6.28 IPS |
|
|
Pose Estimation (Q)
|
87% |
16192
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1685
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
86% |
1577
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
2897
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.51 IPS |
|
|
Face Detection (Q)
|
96% |
4270
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
943
7.26 IPS |
|
|
Depth Estimation (Q)
|
76% |
7545
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16882
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12831
16.5 IPS |
|
|
Style Transfer (Q)
|
87% |
18898
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2913
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
556
742.4 IPS |
|
|
Text Classification (Q)
|
97% |
1152
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
60% |
2210
49.3 IPS |
