Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
5796
Single Precision Score
5838
Half Precision Score
7948
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 23 2025 08:18 AM |
| Views | 17 |
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% |
3533
656.9 IPS |
|
|
Image Classification (HP)
|
100% |
3560
662.1 IPS |
|
|
Image Classification (Q)
|
100% |
5294
984.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4668
75.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4717
76.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7404
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9338
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9286
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
18404
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
3406
270.2 IPS |
|
|
Object Detection (HP)
|
100% |
3166
251.2 IPS |
|
|
Object Detection (Q)
|
87% |
6057
485.8 IPS |
|
|
Face Detection (SP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
8666
103.0 IPS |
|
|
Face Detection (Q)
|
97% |
18272
217.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9855
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9749
75.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
17758
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27170
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27610
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
54516
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5331
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5421
200.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10489
388.5 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
91% |
452
607.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2816
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2747
47.3 IPS |
