Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
5702
Single Precision Score
5782
Half Precision Score
7345
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 10 2025 09:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| 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 | Balanced |
| 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% |
3387
629.9 IPS |
|
|
Image Classification (HP)
|
100% |
3604
670.2 IPS |
|
|
Image Classification (Q)
|
100% |
4815
895.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4454
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4635
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6779
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8875
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
18438
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
3628
287.8 IPS |
|
|
Object Detection (HP)
|
100% |
3658
290.2 IPS |
|
|
Object Detection (Q)
|
87% |
5638
452.2 IPS |
|
|
Face Detection (SP)
|
100% |
9004
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
9252
109.9 IPS |
|
|
Face Detection (Q)
|
97% |
16587
197.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9401
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9515
73.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
16316
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25518
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25787
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50306
64.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5130
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9329
345.5 IPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (Q)
|
91% |
395
531.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2663
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2687
46.3 IPS |
