Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
3987
Single Precision Score
1481
Half Precision Score
5226
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | February 10 2025 11:24 AM |
| Views | 14 |
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 | 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% |
2944
547.5 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (Q)
|
96% |
4923
919.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2669
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8539
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6339
7.40 IPS |
|
|
Pose Estimation (Q)
|
86% |
16025
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
3027
240.1 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
58% |
3867
422.5 IPS |
|
|
Face Detection (SP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
8226
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9091
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2173
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12329
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15671
20.1 IPS |
|
|
Style Transfer (Q)
|
87% |
20402
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2796
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.4 IPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2757
53.3 IPS |
