Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
5224
Single Precision Score
5351
Half Precision Score
7719
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | September 14 2024 01:11 AM |
| Views | 2 |
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 | 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% |
3498
650.5 IPS |
|
|
Image Classification (HP)
|
100% |
3702
688.5 IPS |
|
|
Image Classification (Q)
|
100% |
5196
966.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5903
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9551
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9491
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
20298
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (HP)
|
100% |
3913
310.4 IPS |
|
|
Object Detection (Q)
|
87% |
6414
514.4 IPS |
|
|
Face Detection (SP)
|
100% |
9731
115.6 IPS |
|
|
Face Detection (HP)
|
100% |
9884
117.4 IPS |
|
|
Face Detection (Q)
|
97% |
18705
223.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10194
78.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
10362
79.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
18312
145.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27644
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28619
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
57254
73.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5632
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10634
393.9 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (Q)
|
91% |
467
627.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (Q)
|
90% |
1933
33.6 IPS |
