Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
6781
Single Precision Score
6702
Half Precision Score
8769
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | David3737 |
| Upload Date | May 06 2025 03:37 AM |
| Views | 3 |
| Notes | 64gb 3600 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3919
728.8 IPS |
|
|
Image Classification (HP)
|
100% |
3835
713.1 IPS |
|
|
Image Classification (Q)
|
100% |
5921
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5465
88.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5682
92.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9626
156.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10968
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11163
13.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
23789
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4535
359.7 IPS |
|
|
Object Detection (HP)
|
100% |
4214
334.2 IPS |
|
|
Object Detection (Q)
|
87% |
6938
556.4 IPS |
|
|
Face Detection (SP)
|
100% |
9959
118.3 IPS |
|
|
Face Detection (HP)
|
100% |
10520
125.0 IPS |
|
|
Face Detection (Q)
|
97% |
21422
255.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11678
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11380
87.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
21528
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31813
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32181
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67190
86.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6298
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6376
235.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11923
441.7 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
268
359.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2952
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2650
45.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2888
49.8 IPS |
