Micro-Star International Co., Ltd. MS-7D52
Geekbench AI Score
4332
Single Precision Score
1580
Half Precision Score
6151
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | David3737 |
| Upload Date | May 03 2025 04:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2918
542.7 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
96% |
5967
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
3168
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10722
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6844
7.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
20548
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
3306
262.3 IPS |
|
|
Object Detection (HP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (Q)
|
58% |
4759
520.0 IPS |
|
|
Face Detection (SP)
|
100% |
6727
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
96% |
9555
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10570
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2424
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14696
117.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21883
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18611
23.9 IPS |
|
|
Style Transfer (Q)
|
87% |
21908
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2417
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3210
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
585
781.3 IPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3317
64.1 IPS |
